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This page was generated on 2026-04-25 11:36 -0400 (Sat, 25 Apr 2026).

HostnameOSArch (*)R versionInstalled pkgs
nebbiolo1Linux (Ubuntu 24.04.4 LTS)x86_644.6.0 RC (2026-04-17 r89917) -- "Because it was There" 4978
kjohnson3macOS 13.7.7 Venturaarm644.6.0 alpha (2026-04-08 r89818) 4722
Click on any hostname to see more info about the system (e.g. compilers)      (*) as reported by 'uname -p', except on Windows and Mac OS X

Package 2280/2415HostnameOS / ArchINSTALLBUILDCHECKBUILD BIN
tLOH 1.19.1  (landing page)
Michelle Webb
Snapshot Date: 2026-04-24 13:40 -0400 (Fri, 24 Apr 2026)
git_url: https://git.bioconductor.org/packages/tLOH
git_branch: devel
git_last_commit: 3d7cdb9
git_last_commit_date: 2026-04-03 14:01:45 -0400 (Fri, 03 Apr 2026)
nebbiolo1Linux (Ubuntu 24.04.4 LTS) / x86_64  OK    OK    ERROR  
kjohnson3macOS 13.7.7 Ventura / arm64  OK    OK    ERROR    OK  
See other builds for tLOH in R Universe.

CHECK results for tLOH on kjohnson3

To the developers/maintainers of the tLOH package:
- Allow up to 24 hours (and sometimes 48 hours) for your latest push to git@git.bioconductor.org:packages/tLOH.git to reflect on this report. See Troubleshooting Build Report for more information.
- Use the following Renviron settings to reproduce errors and warnings.
- If 'R CMD check' started to fail recently on the Linux builder(s) over a missing dependency, add the missing dependency to 'Suggests:' in your DESCRIPTION file. See Renviron.bioc for more information.

raw results


Summary

Package: tLOH
Version: 1.19.1
Command: /Library/Frameworks/R.framework/Resources/bin/R CMD check --install=check:tLOH.install-out.txt --library=/Library/Frameworks/R.framework/Resources/library --no-vignettes --timings tLOH_1.19.1.tar.gz
StartedAt: 2026-04-24 22:46:56 -0400 (Fri, 24 Apr 2026)
EndedAt: 2026-04-24 22:49:33 -0400 (Fri, 24 Apr 2026)
EllapsedTime: 156.9 seconds
RetCode: 1
Status:   ERROR  
CheckDir: tLOH.Rcheck
Warnings: NA

Command output

##############################################################################
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###
### Running command:
###
###   /Library/Frameworks/R.framework/Resources/bin/R CMD check --install=check:tLOH.install-out.txt --library=/Library/Frameworks/R.framework/Resources/library --no-vignettes --timings tLOH_1.19.1.tar.gz
###
##############################################################################
##############################################################################


* using log directory ‘/Users/biocbuild/bbs-3.23-bioc/meat/tLOH.Rcheck’
* using R version 4.6.0 alpha (2026-04-08 r89818)
* using platform: aarch64-apple-darwin23
* R was compiled by
    Apple clang version 17.0.0 (clang-1700.3.19.1)
    GNU Fortran (GCC) 14.2.0
* running under: macOS Tahoe 26.3.1
* using session charset: UTF-8
* current time: 2026-04-25 02:46:57 UTC
* using option ‘--no-vignettes’
* checking for file ‘tLOH/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘tLOH’ version ‘1.19.1’
* package encoding: UTF-8
* checking package namespace information ... OK
* checking package dependencies ... OK
* checking if this is a source package ... OK
* checking if there is a namespace ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking for sufficient/correct file permissions ... OK
* checking whether package ‘tLOH’ can be installed ... OK
* checking installed package size ... OK
* checking package directory ... OK
* checking ‘build’ directory ... OK
* checking DESCRIPTION meta-information ... NOTE
License stub is invalid DCF.
* checking top-level files ... OK
* checking for left-over files ... OK
* checking index information ... OK
* checking package subdirectories ... NOTE
Problems with news in ‘NEWS.md’:
No news entries found.
* checking code files for non-ASCII characters ... OK
* checking R files for syntax errors ... OK
* checking whether the package can be loaded ... OK
* checking whether the package can be loaded with stated dependencies ... OK
* checking whether the package can be unloaded cleanly ... OK
* checking whether the namespace can be loaded with stated dependencies ... OK
* checking whether the namespace can be unloaded cleanly ... OK
* checking whether startup messages can be suppressed ... OK
* checking dependencies in R code ... OK
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... OK
* checking Rd files ... OK
* checking Rd metadata ... OK
* checking Rd cross-references ... OK
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... OK
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... OK
* checking contents of ‘data’ directory ... OK
* checking data for non-ASCII characters ... OK
* checking data for ASCII and uncompressed saves ... OK
* checking files in ‘vignettes’ ... OK
* checking examples ... ERROR
Running examples in ‘tLOH-Ex.R’ failed
The error most likely occurred in:

> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: hiddenMarkovAnalysis
> ### Title: Run Multi-Step HMM Analysis on tLOHCalcUpdate output
> ### Aliases: hiddenMarkovAnalysis
> 
> ### ** Examples
> 
> data('humanGBMsampleAC')
> data('initialStartProbabilities')
> df <- tLOHCalcUpdate(humanGBMsampleAC,1.25,1.25,500,500,4)
> trProbs <- cbind(c(0.8999,0.1001),c(0.1001,0.8999))
> output <- hiddenMarkovAnalysis(df,initialStartProbabilities,trProbs)
converged at iteration 207 with logLik: -398.306 
converged at iteration 46 with logLik: -255.5727 
converged at iteration 74 with logLik: -237.3604 
converged at iteration 225 with logLik: -155.9122 
converged at iteration 28 with logLik: -194.1187 
converged at iteration 33 with logLik: -193.3861 
converged at iteration 106 with logLik: -231.1463 
converged at iteration 109 with logLik: -188.59 
converged at iteration 31 with logLik: -165.1099 
NA/NaN/Inf in foreign function call (arg 10)converged at iteration 196 with logLik: -215.7296 
converged at iteration 74 with logLik: -257.2753 
converged at iteration 50 with logLik: -94.22956 
converged at iteration 80 with logLik: -142.5493 
converged at iteration 49 with logLik: -108.3004 
converged at iteration 75 with logLik: -190.8289 
converged at iteration 103 with logLik: -266.4208 
converged at iteration 2 with logLik: -50.4367 
converged at iteration 133 with logLik: -352.4863 
converged at iteration 23 with logLik: -151.31 
converged at iteration 30 with logLik: -56.6414 
converged at iteration 82 with logLik: -133.0958 
converged at iteration 74 with logLik: -287.9221 
converged at iteration 78 with logLik: -184.2966 
converged at iteration 54 with logLik: -188.1044 
converged at iteration 27 with logLik: -148.0181 
converged at iteration 36 with logLik: -139.4242 
converged at iteration 79 with logLik: -176.018 
converged at iteration 177 with logLik: -144.0076 
converged at iteration 27 with logLik: -116.3561 
converged at iteration 24 with logLik: -57.323 
converged at iteration 63 with logLik: -151.7442 
converged at iteration 80 with logLik: -178.4473 
converged at iteration 66 with logLik: -65.43833 
converged at iteration 124 with logLik: -109.5599 
converged at iteration 89 with logLik: -75.4954 
converged at iteration 73 with logLik: -164.4196 
converged at iteration 96 with logLik: -207.0746 
NA/NaN/Inf in foreign function call (arg 10)converged at iteration 1 with logLik: -274.6204 
converged at iteration 86 with logLik: -116.6592 
converged at iteration 23 with logLik: -48.62023 
converged at iteration 157 with logLik: -112.8647 
converged at iteration 115 with logLik: -304.9007 
converged at iteration 287 with logLik: -196.8236 
converged at iteration 71 with logLik: -200.5239 
converged at iteration 79 with logLik: -108.56 
converged at iteration 30 with logLik: -142.1327 
converged at iteration 113 with logLik: -141.3147 
converged at iteration 63 with logLik: -178.2265 
converged at iteration 71 with logLik: -131.8228 
converged at iteration 22 with logLik: -126.9786 
converged at iteration 31 with logLik: -54.96774 
converged at iteration 53 with logLik: -171.091 
NA/NaN/Inf in foreign function call (arg 10)converged at iteration 55 with logLik: -63.81057 
converged at iteration 90 with logLik: -107.3605 
converged at iteration 33 with logLik: -81.54747 
converged at iteration 46 with logLik: -163.0117 
converged at iteration 55 with logLik: -212.7074 
converged at iteration 36 with logLik: -40.88765 
converged at iteration 115 with logLik: -281.6652 
converged at iteration 69 with logLik: -114.6184 
converged at iteration 67 with logLik: -50.8831 
converged at iteration 91 with logLik: -119.0494 
NA/NaN/Inf in foreign function call (arg 10)converged at iteration 33 with logLik: -154.1678 
converged at iteration 75 with logLik: -169.1713 
converged at iteration 63 with logLik: -102.5774 
converged at iteration 23 with logLik: -131.8993 
converged at iteration 68 with logLik: -123.1827 
converged at iteration 1 with logLik: -178.1302 
converged at iteration 63 with logLik: -125.862 
converged at iteration 38 with logLik: -127.0012 
converged at iteration 19 with logLik: -55.32103 
converged at iteration 23 with logLik: -153.13 
converged at iteration 36 with logLik: -144.0729 
converged at iteration 92 with logLik: -57.53434 
converged at iteration 1 with logLik: -101.523 
converged at iteration 91 with logLik: -66.69142 
converged at iteration 59 with logLik: -140.1924 
converged at iteration 205 with logLik: -185.8017 
converged at iteration 147 with logLik: -30.47194 
Warning in em.depmix(object = object, maxit = emcontrol$maxit, tol = emcontrol$tol,  :
  Log likelihood decreased on iteration 469 from -164.912113300559 to -203.001530606166
converged at iteration 39 with logLik: -112.051 
converged at iteration 48 with logLik: -35.12297 
converged at iteration 36 with logLik: -95.84889 
converged at iteration 159 with logLik: -261.1958 
converged at iteration 44 with logLik: -182.2022 
converged at iteration 113 with logLik: -170.3867 
converged at iteration 44 with logLik: -95.77842 
converged at iteration 22 with logLik: -130.3786 
converged at iteration 101 with logLik: -118.373 
converged at iteration 101 with logLik: -170.7813 
converged at iteration 105 with logLik: -129.5046 
converged at iteration 34 with logLik: -120.58 
converged at iteration 98 with logLik: -43.49378 
converged at iteration 55 with logLik: -158.5954 
converged at iteration 28 with logLik: -146.2711 
converged at iteration 43 with logLik: -63.65994 
converged at iteration 129 with logLik: -97.87497 
converged at iteration 50 with logLik: -70.49834 
converged at iteration 57 with logLik: -150.8663 
converged at iteration 193 with logLik: -201.2911 
NA/NaN/Inf in foreign function call (arg 10)converged at iteration 156 with logLik: -266.978 
converged at iteration 45 with logLik: -99.93706 
converged at iteration 49 with logLik: -39.8738 
converged at iteration 53 with logLik: -98.21973 
NA/NaN/Inf in foreign function call (arg 10)converged at iteration 59 with logLik: -163.9657 
converged at iteration 43 with logLik: -154.3464 
converged at iteration 33 with logLik: -93.47475 
converged at iteration 25 with logLik: -119.8719 
converged at iteration 76 with logLik: -117.6776 
converged at iteration 65 with logLik: -165.7769 
converged at iteration 101 with logLik: -116.7803 
converged at iteration 34 with logLik: -113.9863 
NA/NaN/Inf in foreign function call (arg 10)converged at iteration 62 with logLik: -139.6518 
converged at iteration 1 with logLik: -158.2562 
converged at iteration 52 with logLik: -54.38776 
converged at iteration 119 with logLik: -92.25004 
converged at iteration 74 with logLik: -57.10705 
converged at iteration 28 with logLik: -149.6465 
converged at iteration 211 with logLik: -188.8828 
converged at iteration 39 with logLik: -38.25304 
converged at iteration 183 with logLik: -240.771 
converged at iteration 28 with logLik: -95.81378 
converged at iteration 41 with logLik: -42.08287 
converged at iteration 78 with logLik: -110.4376 
NA/NaN/Inf in foreign function call (arg 10)converged at iteration 148 with logLik: -65.16806 
converged at iteration 50 with logLik: -53.09825 
converged at iteration 23 with logLik: -27.87885 
converged at iteration 30 with logLik: -38.36068 
NA/NaN/Inf in foreign function call (arg 10)converged at iteration 49 with logLik: -81.63568 
Warning in em.depmix(object = object, maxit = emcontrol$maxit, tol = emcontrol$tol,  :
  Log likelihood decreased on iteration 205 from 35.4639577392789 to 27.5991823614278
converged at iteration 40 with logLik: -44.89538 
NA/NaN/Inf in foreign function call (arg 10)converged at iteration 77 with logLik: -63.73668 
converged at iteration 51 with logLik: -44.83225 
converged at iteration 53 with logLik: -23.00419 
converged at iteration 41 with logLik: -32.26423 
converged at iteration 38 with logLik: -23.83974 
converged at iteration 103 with logLik: -54.37216 
Warning in em.depmix(object = object, maxit = emcontrol$maxit, tol = emcontrol$tol,  :
  Log likelihood decreased on iteration 148 from 34.7179207983422 to 28.9953403731522
converged at iteration 23 with logLik: -5.039971 
converged at iteration 59 with logLik: -125.4688 
converged at iteration 32 with logLik: -48.8484 
converged at iteration 54 with logLik: -20.3648 
converged at iteration 41 with logLik: -46.83856 
converged at iteration 38 with logLik: -204.2404 
converged at iteration 90 with logLik: -113.1137 
converged at iteration 177 with logLik: -118.0829 
converged at iteration 27 with logLik: -57.62601 
converged at iteration 23 with logLik: -84.01113 
converged at iteration 220 with logLik: -89.86214 
converged at iteration 32 with logLik: -141.4241 
converged at iteration 98 with logLik: -92.53708 
converged at iteration 70 with logLik: -95.01871 
converged at iteration 17 with logLik: -39.85199 
converged at iteration 109 with logLik: -101.6854 
converged at iteration 51 with logLik: -97.72449 
converged at iteration 56 with logLik: -49.63652 
converged at iteration 172 with logLik: -68.47756 
converged at iteration 171 with logLik: -55.8627 
converged at iteration 104 with logLik: -103.4439 
converged at iteration 99 with logLik: -142.2087 
NA/NaN/Inf in foreign function call (arg 10)converged at iteration 202 with logLik: -208.7968 
converged at iteration 22 with logLik: -81.24782 
converged at iteration 28 with logLik: -35.60905 
converged at iteration 49 with logLik: -83.11579 
converged at iteration 32 with logLik: -219.4027 
converged at iteration 65 with logLik: -109.5173 
converged at iteration 102 with logLik: -110.7171 
converged at iteration 69 with logLik: -65.39197 
converged at iteration 28 with logLik: -79.49466 
NA/NaN/Inf in foreign function call (arg 10)converged at iteration 53 with logLik: -144.4179 
converged at iteration 60 with logLik: -74.85841 
converged at iteration 56 with logLik: -78.81818 
converged at iteration 202 with logLik: -21.99613 
converged at iteration 31 with logLik: -87.67447 
converged at iteration 170 with logLik: -81.20508 
converged at iteration 31 with logLik: -40.87241 
Warning in em.depmix(object = object, maxit = emcontrol$maxit, tol = emcontrol$tol,  :
  Log likelihood decreased on iteration 109 from 7.08881541095951 to 6.85146440149421
converged at iteration 18 with logLik: -39.05787 
converged at iteration 138 with logLik: -107.0216 
converged at iteration 2 with logLik: -153.9865 
NA/NaN/Inf in foreign function call (arg 10)converged at iteration 79 with logLik: -193.9509 
converged at iteration 32 with logLik: -82.24964 
converged at iteration 193 with logLik: -30.50687 
converged at iteration 27 with logLik: -69.78197 
unable to find an inherited method for function ‘posterior’ for signature ‘object = "NULL"’unable to find an inherited method for function ‘posterior’ for signature ‘object = "NULL"’unable to find an inherited method for function ‘posterior’ for signature ‘object = "NULL"’unable to find an inherited method for function ‘posterior’ for signature ‘object = "NULL"’unable to find an inherited method for function ‘posterior’ for signature ‘object = "NULL"’unable to find an inherited method for function ‘posterior’ for signature ‘object = "NULL"’unable to find an inherited method for function ‘posterior’ for signature ‘object = "NULL"’unable to find an inherited method for function ‘posterior’ for signature ‘object = "NULL"’unable to find an inherited method for function ‘posterior’ for signature ‘object = "NULL"’unable to find an inherited method for function ‘posterior’ for signature ‘object = "NULL"’unable to find an inherited method for function ‘posterior’ for signature ‘object = "NULL"’unable to find an inherited method for function ‘posterior’ for signature ‘object = "NULL"’unable to find an inherited method for function ‘posterior’ for signature ‘object = "NULL"’Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(group, rsID, CLUSTER, TOTAL, REF, ALT, CHR, POS,
`p(D|loh)`, `p(D|het)`, `p(het|D)`, `p(loh|D)`, bayesFactors, inverseBayes,
LogBayesFactors, LogInverseBayes, Log10BayesFactors, Log10InverseBayes, AF,
CLUSTER_AF, CHR_F, alpha, beta, alpha2, beta2, orderNorm, state, S1, S2,
Log10BayesFactorsEdited, sequentialSum, sequentialSumOriginalBF, medianBF,
meanBF)`
Joining with `by = join_by(state, rleid, intervalStart, intervalEnd, CHR,
CLUSTER)`
Joining with `by = join_by(state, rleid, intervalStart, intervalEnd, CHR,
CLUSTER)`
Joining with `by = join_by(state, rleid, intervalStart, intervalEnd, CHR,
CLUSTER)`
Joining with `by = join_by(state, rleid, intervalStart, intervalEnd, CHR,
CLUSTER)`
Joining with `by = join_by(state, rleid, intervalStart, intervalEnd, CHR,
CLUSTER)`
Joining with `by = join_by(state, rleid, intervalStart, intervalEnd, CHR,
CLUSTER)`
Joining with `by = join_by(state, rleid, intervalStart, intervalEnd, CHR,
CLUSTER)`
Joining with `by = join_by(state, rleid, intervalStart, intervalEnd, CHR,
CLUSTER)`
Joining with `by = join_by(state, rleid, intervalStart, intervalEnd, CHR,
CLUSTER)`
Joining with `by = join_by(state, rleid, intervalStart, intervalEnd, CHR,
CLUSTER)`
Joining with `by = join_by(state, rleid, intervalStart, intervalEnd, CHR,
CLUSTER)`
Joining with `by = join_by(state, rleid, intervalStart, intervalEnd, CHR,
CLUSTER)`
Joining with `by = join_by(state, rleid, intervalStart, intervalEnd, CHR,
CLUSTER)`
Joining with `by = join_by(state, rleid, intervalStart, intervalEnd, CHR,
CLUSTER)`
Joining with `by = join_by(state, rleid, intervalStart, intervalEnd, CHR,
CLUSTER)`
Joining with `by = join_by(state, rleid, intervalStart, intervalEnd, CHR,
CLUSTER)`
Joining with `by = join_by(state, rleid, intervalStart, intervalEnd, CHR,
CLUSTER)`
Joining with `by = join_by(state, rleid, intervalStart, intervalEnd, CHR,
CLUSTER)`
Joining with `by = join_by(state, rleid, intervalStart, intervalEnd, CHR,
CLUSTER)`
Joining with `by = join_by(state, rleid, intervalStart, intervalEnd, CHR,
CLUSTER)`
Joining with `by = join_by(state, rleid, intervalStart, intervalEnd, CHR,
CLUSTER)`
Joining with `by = join_by(state, rleid, intervalStart, intervalEnd, CHR,
CLUSTER)`
Joining with `by = join_by(state, rleid, intervalStart, intervalEnd, CHR,
CLUSTER)`
Joining with `by = join_by(state, rleid, intervalStart, intervalEnd, CHR,
CLUSTER)`
Joining with `by = join_by(state, rleid, intervalStart, intervalEnd, CHR,
CLUSTER)`
Joining with `by = join_by(state, rleid, intervalStart, intervalEnd, CHR,
CLUSTER)`
Joining with `by = join_by(state, rleid, intervalStart, intervalEnd, CHR,
CLUSTER)`
Joining with `by = join_by(state, rleid, intervalStart, intervalEnd, CHR,
CLUSTER)`
Joining with `by = join_by(state, rleid, intervalStart, intervalEnd, CHR,
CLUSTER)`
Joining with `by = join_by(state, rleid, intervalStart, intervalEnd, CHR,
CLUSTER)`
Joining with `by = join_by(state, rleid, intervalStart, intervalEnd, CHR,
CLUSTER)`
Joining with `by = join_by(state, rleid, intervalStart, intervalEnd, CHR,
CLUSTER)`
Joining with `by = join_by(state, rleid, intervalStart, intervalEnd, CHR,
CLUSTER)`
Joining with `by = join_by(state, rleid, intervalStart, intervalEnd, CHR,
CLUSTER)`
Joining with `by = join_by(state, rleid, intervalStart, intervalEnd, CHR,
CLUSTER)`
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Error in `dplyr::summarise()`:
ℹ In argument: `dplyr::across()`.
ℹ In group 1: `CLUSTER = 1`, `CHR = 1`, `medianBF = -0.3108511`.
Caused by error:
! `dplyr::across()` must be size 1, not 62.
ℹ To return more or less than 1 row per group, use `reframe()`.
Backtrace:
     ▆
  1. ├─tLOH::hiddenMarkovAnalysis(df, initialStartProbabilities, trProbs)
  2. │ └─tLOH::regionFinalize(step4)
  3. │   ├─dplyr::arrange(...)
  4. │   ├─dplyr::group_by(...)
  5. │   ├─dplyr::arrange(...)
  6. │   ├─dplyr::summarise(...)
  7. │   └─dplyr:::summarise.grouped_df(...)
  8. │     └─dplyr:::summarise_cols(.data, dplyr_quosures(...), by, "summarise")
  9. │       └─base::withCallingHandlers(...)
 10. ├─dplyr:::dplyr_internal_error(...)
 11. │ └─rlang::abort(class = c(class, "dplyr:::internal_error"), dplyr_error_data = data)
 12. │   └─rlang:::signal_abort(cnd, .file)
 13. │     └─base::signalCondition(cnd)
 14. └─dplyr (local) `<fn>`(`<dpl:::__>`)
 15.   └─dplyr (local) handler(cnd)
 16.     └─rlang::abort(message, class = error_class, parent = parent, call = error_call)
Execution halted
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes ... OK
* checking running R code from vignettes ... SKIPPED
* checking re-building of vignette outputs ... SKIPPED
* checking PDF version of manual ... OK
* DONE

Status: 1 ERROR, 2 NOTEs
See
  ‘/Users/biocbuild/bbs-3.23-bioc/meat/tLOH.Rcheck/00check.log’
for details.

Installation output

tLOH.Rcheck/00install.out

##############################################################################
##############################################################################
###
### Running command:
###
###   /Library/Frameworks/R.framework/Resources/bin/R CMD INSTALL tLOH
###
##############################################################################
##############################################################################


* installing to library ‘/Library/Frameworks/R.framework/Versions/4.6/Resources/library’
* installing *source* package ‘tLOH’ ...
** this is package ‘tLOH’ version ‘1.19.1’
** using staged installation
** R
** data
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
Warning in fun(libname, pkgname) :
  Package 'tLOH' is deprecated and will be removed from Bioconductor
  version 3.24
** testing if installed package can be loaded from final location
Warning in fun(libname, pkgname) :
  Package 'tLOH' is deprecated and will be removed from Bioconductor
  version 3.24
** testing if installed package keeps a record of temporary installation path
* DONE (tLOH)

Tests output


Example timings

tLOH.Rcheck/tLOH-Ex.timings

nameusersystemelapsed
aggregateCHRPlot2.0700.0712.152
alleleFrequencyPlot2.5700.0372.636
documentErrorRegions0.0010.0000.001