CHECK report for AneuFinder on celaya2
This page was generated on 2019-10-16 12:57:33 -0400 (Wed, 16 Oct 2019).
AneuFinder 1.12.1 Aaron Taudt
Snapshot Date: 2019-10-15 17:01:26 -0400 (Tue, 15 Oct 2019) |
URL: https://git.bioconductor.org/packages/AneuFinder |
Branch: RELEASE_3_9 |
Last Commit: e788fd0 |
Last Changed Date: 2019-07-20 06:41:41 -0400 (Sat, 20 Jul 2019) |
| malbec2 | Linux (Ubuntu 18.04.2 LTS) / x86_64 | OK | OK | OK | | |
tokay2 | Windows Server 2012 R2 Standard / x64 | OK | OK | OK | OK | |
celaya2 | OS X 10.11.6 El Capitan / x86_64 | OK | OK | [ OK ] | OK | |
Summary
Command output
Installation output
AneuFinder.Rcheck/00install.out
Tests output
AneuFinder.Rcheck/tests/testthat.Rout
R version 3.6.1 (2019-07-05) -- "Action of the Toes"
Copyright (C) 2019 The R Foundation for Statistical Computing
Platform: x86_64-apple-darwin15.6.0 (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(testthat)
> library(AneuFinder)
Loading required package: GenomicRanges
Loading required package: stats4
Loading required package: BiocGenerics
Loading required package: parallel
Attaching package: 'BiocGenerics'
The following objects are masked from 'package:parallel':
clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
clusterExport, clusterMap, parApply, parCapply, parLapply,
parLapplyLB, parRapply, parSapply, parSapplyLB
The following objects are masked from 'package:stats':
IQR, mad, sd, var, xtabs
The following objects are masked from 'package:base':
Filter, Find, Map, Position, Reduce, anyDuplicated, append,
as.data.frame, basename, cbind, colnames, dirname, do.call,
duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted,
lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin,
pmin.int, rank, rbind, rownames, sapply, setdiff, sort, table,
tapply, union, unique, unsplit, which, which.max, which.min
Loading required package: S4Vectors
Attaching package: 'S4Vectors'
The following object is masked from 'package:base':
expand.grid
Loading required package: IRanges
Loading required package: GenomeInfoDb
Loading required package: ggplot2
Loading required package: cowplot
********************************************************
Note: As of version 1.0.0, cowplot does not change the
default ggplot2 theme anymore. To recover the previous
behavior, execute:
theme_set(theme_cowplot())
********************************************************
Loading required package: AneuFinderData
Please visit https://github.com/ataudt/aneufinder for the latest bugfixes and features.
>
> test_check("AneuFinder")
number of states = 11
number of bins = 6183
maximum number of iterations = 1000
maximum running time = none
epsilon = 0.1
data mean = 58.8193, data variance = 486.587
Iteration log(P) dlog(P) Diff in posterior Time in sec
0 -inf - - 0
1 -24789.866771 inf 6183.000000 0
2 -23822.331670 967.535101 601.762712 0
3 -23761.771285 60.560384 131.281549 0
4 -23745.235666 16.535619 119.461404 0
5 -23738.238770 6.996896 63.831344 0
6 -23735.137871 3.100899 48.587399 0
7 -23733.451273 1.686598 29.803499 0
8 -23732.421572 1.029701 21.580983 0
9 -23731.674903 0.746669 14.186707 0
10 -23731.069920 0.604983 9.975381 0
11 -23730.527674 0.542246 7.021040 1
12 -23730.007090 0.520584 4.942881 1
13 -23729.480035 0.527055 3.803030 1
14 -23728.932681 0.547354 2.653912 1
15 -23728.372455 0.560226 2.141742 1
16 -23727.839017 0.533439 1.244299 1
17 -23727.367012 0.472005 1.109390 1
18 -23726.947097 0.419914 0.529456 1
19 -23726.552750 0.394348 0.602730 1
Iteration log(P) dlog(P) Diff in posterior Time in sec
20 -23726.169459 0.383291 0.302116 1
21 -23725.791510 0.377949 0.389827 1
22 -23725.416462 0.375048 0.244787 1
23 -23725.043233 0.373229 0.307572 1
24 -23724.671334 0.371899 0.240956 1
25 -23724.300551 0.370783 0.275223 1
26 -23723.930786 0.369765 0.245508 1
27 -23723.561998 0.368789 0.262164 1
28 -23723.194164 0.367834 0.248735 1
29 -23722.827276 0.366888 0.256570 1
30 -23722.461329 0.365947 0.250428 1
31 -23722.096319 0.365010 0.254042 1
32 -23721.732244 0.364076 0.251213 1
33 -23721.369100 0.363144 0.252844 1
34 -23721.006885 0.362214 0.251549 1
35 -23720.645598 0.361287 0.252622 1
36 -23720.285236 0.360362 0.252383 1
37 -23719.925796 0.359440 0.253123 1
38 -23719.567277 0.358519 0.253290 1
39 -23719.209677 0.357600 0.254027 1
Iteration log(P) dlog(P) Diff in posterior Time in sec
40 -23718.852994 0.356683 0.254590 1
41 -23718.497228 0.355766 0.255400 1
42 -23718.142378 0.354850 0.256151 1
43 -23717.788445 0.353933 0.257145 1
44 -23717.435431 0.353014 0.258100 1
45 -23717.083339 0.352092 0.259094 1
46 -23716.732173 0.351166 0.260034 1
47 -23716.381938 0.350235 0.260935 1
48 -23716.032640 0.349298 0.261735 1
49 -23715.684287 0.348353 0.262424 1
50 -23715.336886 0.347401 0.262956 1
51 -23714.990445 0.346441 0.263312 1
52 -23714.644972 0.345473 0.263463 1
53 -23714.300474 0.344498 0.263396 1
54 -23713.956958 0.343516 0.263103 1
55 -23713.614428 0.342530 0.262584 1
56 -23713.272887 0.341540 0.261849 1
57 -23712.932339 0.340548 0.260917 1
58 -23712.592783 0.339556 0.259810 1
59 -23712.254217 0.338565 0.258559 1
Iteration log(P) dlog(P) Diff in posterior Time in sec
60 -23711.916641 0.337576 0.257196 1
61 -23711.580050 0.336591 0.255754 1
62 -23711.244442 0.335609 0.254264 1
63 -23710.909811 0.334631 0.252755 1
64 -23710.576153 0.333657 0.251252 1
65 -23710.243465 0.332688 0.249777 1
66 -23709.911743 0.331722 0.248349 1
67 -23709.580982 0.330761 0.247090 1
68 -23709.251180 0.329802 0.245906 1
69 -23708.922334 0.328846 0.244786 1
70 -23708.594441 0.327893 0.243757 1
71 -23708.267498 0.326942 0.242885 1
72 -23707.941505 0.325993 0.242069 1
73 -23707.616459 0.325046 0.241304 1
74 -23707.292358 0.324101 0.240590 1
75 -23706.969202 0.323156 0.239921 1
76 -23706.646989 0.322213 0.239394 1
77 -23706.325719 0.321271 0.239012 1
78 -23706.005389 0.320329 0.238641 1
79 -23705.686000 0.319389 0.238282 1
Iteration log(P) dlog(P) Diff in posterior Time in sec
80 -23705.367551 0.318449 0.237931 1
81 -23705.050040 0.317511 0.237592 1
82 -23704.733468 0.316573 0.237265 1
83 -23704.417832 0.315635 0.236943 1
84 -23704.103134 0.314699 0.236626 1
85 -23703.789371 0.313763 0.236312 1
86 -23703.476543 0.312828 0.236001 1
87 -23703.164650 0.311893 0.235693 1
88 -23702.853691 0.310959 0.235387 1
89 -23702.543664 0.310026 0.235083 1
90 -23702.234570 0.309094 0.234781 2
91 -23701.926408 0.308163 0.234480 2
92 -23701.619176 0.307232 0.234179 2
93 -23701.312874 0.306302 0.233879 2
94 -23701.007502 0.305372 0.233580 2
95 -23700.703059 0.304444 0.233281 2
96 -23700.399543 0.303516 0.232982 2
97 -23700.096954 0.302589 0.232683 2
98 -23699.795291 0.301663 0.232384 2
99 -23699.494554 0.300737 0.232086 2
Iteration log(P) dlog(P) Diff in posterior Time in sec
100 -23699.194741 0.299813 0.231789 2
101 -23698.895853 0.298889 0.231491 2
102 -23698.597887 0.297966 0.231193 2
103 -23698.300843 0.297044 0.230895 2
104 -23698.004721 0.296122 0.230596 2
105 -23697.709519 0.295202 0.230296 2
106 -23697.415236 0.294282 0.229997 2
107 -23697.121873 0.293364 0.229697 2
108 -23696.829427 0.292446 0.229396 2
109 -23696.537897 0.291529 0.229095 2
110 -23696.247284 0.290613 0.228793 2
111 -23695.957586 0.289698 0.228491 2
112 -23695.668802 0.288784 0.228189 2
113 -23695.380931 0.287871 0.227886 2
114 -23695.093972 0.286959 0.227582 2
115 -23694.807925 0.286047 0.227278 2
116 -23694.522788 0.285137 0.226973 2
117 -23694.238560 0.284228 0.226668 2
118 -23693.955240 0.283320 0.226362 2
119 -23693.672828 0.282412 0.226056 2
Iteration log(P) dlog(P) Diff in posterior Time in sec
120 -23693.391322 0.281506 0.225749 2
121 -23693.110721 0.280601 0.225443 2
122 -23692.831025 0.279696 0.225136 2
123 -23692.552232 0.278793 0.224828 2
124 -23692.274340 0.277891 0.224520 2
125 -23691.997350 0.276990 0.224212 2
126 -23691.721261 0.276090 0.223903 2
127 -23691.446070 0.275191 0.223593 2
128 -23691.171777 0.274293 0.223283 2
129 -23690.898380 0.273396 0.222972 2
130 -23690.625880 0.272501 0.222661 2
131 -23690.354274 0.271606 0.222349 2
132 -23690.083561 0.270713 0.222037 2
133 -23689.813741 0.269820 0.221724 2
134 -23689.544812 0.268929 0.221411 2
135 -23689.276773 0.268039 0.221097 2
136 -23689.009623 0.267150 0.220783 2
137 -23688.743361 0.266262 0.220469 2
138 -23688.477985 0.265376 0.220154 2
139 -23688.213495 0.264490 0.219838 2
Iteration log(P) dlog(P) Diff in posterior Time in sec
140 -23687.949889 0.263606 0.219522 2
141 -23687.687165 0.262723 0.219206 2
142 -23687.425324 0.261841 0.218889 2
143 -23687.164363 0.260961 0.218571 2
144 -23686.904282 0.260081 0.218253 2
145 -23686.645079 0.259203 0.217935 2
146 -23686.386752 0.258326 0.217616 2
147 -23686.129301 0.257451 0.217297 2
148 -23685.872725 0.256576 0.216977 2
149 -23685.617022 0.255703 0.216657 2
150 -23685.362190 0.254831 0.216336 2
151 -23685.108229 0.253961 0.216015 2
152 -23684.855137 0.253092 0.215694 2
153 -23684.602914 0.252224 0.215372 2
154 -23684.351557 0.251357 0.215049 2
155 -23684.101065 0.250492 0.214727 2
156 -23683.851437 0.249628 0.214403 2
157 -23683.602672 0.248765 0.214080 2
158 -23683.354769 0.247904 0.213756 2
159 -23683.107725 0.247044 0.213432 2
Iteration log(P) dlog(P) Diff in posterior Time in sec
160 -23682.861540 0.246185 0.213107 2
161 -23682.616213 0.245328 0.212782 2
162 -23682.371741 0.244472 0.212456 2
163 -23682.128124 0.243617 0.212131 2
164 -23681.885360 0.242764 0.211806 2
165 -23681.643448 0.241912 0.211480 2
166 -23681.402387 0.241062 0.211154 2
167 -23681.162174 0.240213 0.210828 2
168 -23680.922809 0.239365 0.210502 2
169 -23680.684291 0.238519 0.210175 2
170 -23680.446617 0.237674 0.209848 2
171 -23680.209786 0.236831 0.209520 2
172 -23679.973797 0.235989 0.209192 2
173 -23679.738649 0.235148 0.208864 2
174 -23679.504339 0.234309 0.208536 2
175 -23679.270868 0.233472 0.208207 2
176 -23679.038232 0.232636 0.207878 2
177 -23678.806431 0.231801 0.207548 2
178 -23678.575463 0.230968 0.207219 2
179 -23678.345326 0.230136 0.206889 2
Iteration log(P) dlog(P) Diff in posterior Time in sec
180 -23678.116020 0.229306 0.206559 2
181 -23677.887543 0.228478 0.206228 2
182 -23677.659892 0.227650 0.205897 2
183 -23677.433067 0.226825 0.205566 2
184 -23677.207067 0.226001 0.205235 2
185 -23676.981889 0.225178 0.204903 2
186 -23676.757532 0.224357 0.204571 2
187 -23676.533994 0.223537 0.204239 2
188 -23676.311275 0.222719 0.203906 2
189 -23676.089372 0.221903 0.203574 2
190 -23675.868284 0.221088 0.203241 2
191 -23675.648009 0.220275 0.202907 2
192 -23675.428546 0.219463 0.202574 2
193 -23675.209893 0.218653 0.202240 2
194 -23674.992049 0.217844 0.201906 2
195 -23674.775012 0.217037 0.201572 2
196 -23674.558781 0.216232 0.201237 2
197 -23674.343353 0.215428 0.200902 3
198 -23674.128727 0.214626 0.200567 3
199 -23673.914902 0.213825 0.200232 3
Iteration log(P) dlog(P) Diff in posterior Time in sec
200 -23673.701877 0.213026 0.199897 3
201 -23673.489648 0.212228 0.199562 3
202 -23673.278216 0.211433 0.199226 3
203 -23673.067577 0.210638 0.198890 3
204 -23672.857731 0.209846 0.198554 3
205 -23672.648676 0.209055 0.198218 3
206 -23672.440411 0.208266 0.197882 3
207 -23672.232933 0.207478 0.197545 3
208 -23672.026241 0.206692 0.197208 3
209 -23671.820333 0.205908 0.196871 3
210 -23671.615208 0.205125 0.196534 3
211 -23671.410864 0.204344 0.196198 3
212 -23671.207299 0.203565 0.195861 3
213 -23671.004512 0.202787 0.195525 3
214 -23670.802501 0.202011 0.195188 3
215 -23670.601265 0.201237 0.194851 3
216 -23670.400800 0.200464 0.194514 3
217 -23670.201107 0.199693 0.194176 3
218 -23670.002183 0.198924 0.193839 3
219 -23669.804027 0.198156 0.193501 3
Iteration log(P) dlog(P) Diff in posterior Time in sec
220 -23669.606636 0.197391 0.193163 3
221 -23669.410010 0.196627 0.192826 3
222 -23669.214145 0.195864 0.192488 3
223 -23669.019042 0.195104 0.192149 3
224 -23668.824697 0.194345 0.191811 3
225 -23668.631110 0.193587 0.191473 3
226 -23668.438278 0.192832 0.191134 3
227 -23668.246200 0.192078 0.190795 3
228 -23668.054874 0.191326 0.190456 3
229 -23667.864298 0.190576 0.190118 3
230 -23667.674471 0.189827 0.189779 3
231 -23667.485390 0.189081 0.189439 3
232 -23667.297055 0.188336 0.189100 3
233 -23667.109462 0.187592 0.188761 3
234 -23666.922612 0.186851 0.188421 3
235 -23666.736501 0.186111 0.188082 3
236 -23666.551128 0.185373 0.187744 3
237 -23666.366491 0.184637 0.187405 3
238 -23666.182588 0.183902 0.187066 3
239 -23665.999419 0.183170 0.186727 3
Iteration log(P) dlog(P) Diff in posterior Time in sec
240 -23665.816980 0.182439 0.186388 3
241 -23665.635270 0.181710 0.186049 3
242 -23665.454288 0.180982 0.185710 3
243 -23665.274031 0.180257 0.185370 3
244 -23665.094498 0.179533 0.185031 3
245 -23664.915686 0.178811 0.184692 3
246 -23664.737595 0.178091 0.184352 3
247 -23664.560223 0.177373 0.184013 3
248 -23664.383566 0.176656 0.183674 3
249 -23664.207625 0.175942 0.183335 3
250 -23664.032396 0.175229 0.182996 3
251 -23663.857879 0.174517 0.182657 3
252 -23663.684071 0.173808 0.182318 3
253 -23663.510970 0.173101 0.181979 3
254 -23663.338575 0.172395 0.181641 3
255 -23663.166884 0.171691 0.181302 3
256 -23662.995894 0.170989 0.180963 3
257 -23662.825605 0.170289 0.180624 3
258 -23662.656015 0.169591 0.180285 3
259 -23662.487121 0.168894 0.179946 3
Iteration log(P) dlog(P) Diff in posterior Time in sec
260 -23662.318921 0.168199 0.179607 3
261 -23662.151414 0.167507 0.179268 3
262 -23661.984599 0.166816 0.178929 3
263 -23661.818473 0.166126 0.178590 3
264 -23661.653034 0.165439 0.178251 3
265 -23661.488280 0.164754 0.177912 3
266 -23661.324210 0.164070 0.177573 3
267 -23661.160822 0.163388 0.177234 3
268 -23660.998114 0.162708 0.176895 3
269 -23660.836084 0.162030 0.176556 3
270 -23660.674730 0.161354 0.176217 3
271 -23660.514051 0.160679 0.175879 3
272 -23660.354044 0.160007 0.175540 3
273 -23660.194708 0.159336 0.175202 3
274 -23660.036041 0.158667 0.174864 3
275 -23659.878041 0.158000 0.174526 3
276 -23659.720706 0.157335 0.174188 3
277 -23659.564034 0.156672 0.173851 3
278 -23659.408024 0.156010 0.173513 3
279 -23659.252673 0.155351 0.173175 3
Iteration log(P) dlog(P) Diff in posterior Time in sec
280 -23659.097980 0.154693 0.172838 3
281 -23658.943943 0.154037 0.172500 3
282 -23658.790560 0.153383 0.172162 3
283 -23658.637828 0.152731 0.171825 3
284 -23658.485747 0.152081 0.171488 3
285 -23658.334315 0.151433 0.171150 3
286 -23658.183528 0.150786 0.170813 3
287 -23658.033387 0.150142 0.170476 3
288 -23657.883888 0.149499 0.170139 3
289 -23657.735030 0.148858 0.169802 3
290 -23657.586811 0.148219 0.169465 3
291 -23657.439229 0.147582 0.169128 3
292 -23657.292283 0.146947 0.168792 3
293 -23657.145969 0.146313 0.168455 3
294 -23657.000288 0.145682 0.168119 3
295 -23656.855235 0.145052 0.167783 3
296 -23656.710811 0.144424 0.167447 3
297 -23656.567013 0.143798 0.167111 3
298 -23656.423838 0.143174 0.166775 3
299 -23656.281286 0.142552 0.166439 3
Iteration log(P) dlog(P) Diff in posterior Time in sec
300 -23656.139354 0.141932 0.166104 3
301 -23655.998040 0.141314 0.165768 3
302 -23655.857343 0.140697 0.165433 3
303 -23655.717260 0.140083 0.165098 3
304 -23655.577790 0.139470 0.164763 3
305 -23655.438931 0.138859 0.164428 3
306 -23655.300681 0.138250 0.164094 3
307 -23655.163038 0.137643 0.163759 3
308 -23655.026000 0.137038 0.163425 3
309 -23654.889566 0.136434 0.163091 3
310 -23654.753733 0.135833 0.162757 3
311 -23654.618500 0.135233 0.162423 3
312 -23654.483864 0.134635 0.162089 3
313 -23654.349825 0.134040 0.161755 3
314 -23654.216379 0.133446 0.161422 3
315 -23654.083526 0.132854 0.161089 3
316 -23653.951262 0.132263 0.160756 3
317 -23653.819587 0.131675 0.160423 3
318 -23653.688499 0.131088 0.160090 3
319 -23653.557995 0.130504 0.159757 4
Iteration log(P) dlog(P) Diff in posterior Time in sec
320 -23653.428074 0.129921 0.159425 4
321 -23653.298734 0.129340 0.159092 4
322 -23653.169973 0.128761 0.158760 4
323 -23653.041789 0.128184 0.158428 4
324 -23652.914180 0.127609 0.158097 4
325 -23652.787145 0.127035 0.157765 4
326 -23652.660681 0.126464 0.157434 4
327 -23652.534787 0.125894 0.157103 4
328 -23652.409461 0.125326 0.156771 4
329 -23652.284700 0.124760 0.156441 4
330 -23652.160504 0.124196 0.156110 4
331 -23652.036870 0.123634 0.155780 4
332 -23651.913797 0.123074 0.155452 4
333 -23651.791282 0.122515 0.155124 4
334 -23651.669323 0.121958 0.154796 4
335 -23651.547920 0.121404 0.154469 4
336 -23651.427069 0.120851 0.154142 4
337 -23651.306769 0.120300 0.153815 4
338 -23651.187019 0.119750 0.153488 4
339 -23651.067816 0.119203 0.153161 4
Iteration log(P) dlog(P) Diff in posterior Time in sec
340 -23650.949159 0.118657 0.152835 4
341 -23650.831045 0.118114 0.152509 4
342 -23650.713473 0.117572 0.152183 4
343 -23650.596442 0.117032 0.151857 4
344 -23650.479948 0.116494 0.151534 4
345 -23650.363991 0.115957 0.151210 4
346 -23650.248568 0.115423 0.150887 4
347 -23650.133678 0.114890 0.150564 4
348 -23650.019319 0.114359 0.150242 4
349 -23649.905488 0.113830 0.149919 4
350 -23649.792185 0.113303 0.149597 4
351 -23649.679407 0.112778 0.149275 4
352 -23649.567153 0.112254 0.148953 4
353 -23649.455420 0.111733 0.148632 4
354 -23649.344207 0.111213 0.148310 4
355 -23649.233512 0.110695 0.147989 4
356 -23649.123334 0.110179 0.147668 4
357 -23649.013670 0.109664 0.147348 4
358 -23648.904518 0.109152 0.147027 4
359 -23648.795877 0.108641 0.146707 4
Iteration log(P) dlog(P) Diff in posterior Time in sec
360 -23648.687745 0.108132 0.146387 4
361 -23648.580120 0.107625 0.146067 4
362 -23648.473000 0.107120 0.145748 4
363 -23648.366384 0.106616 0.145429 4
364 -23648.260270 0.106114 0.145110 4
365 -23648.154656 0.105614 0.144791 4
366 -23648.049539 0.105116 0.144473 4
367 -23647.944919 0.104620 0.144154 4
368 -23647.840794 0.104126 0.143836 4
369 -23647.737161 0.103633 0.143519 4
370 -23647.634019 0.103142 0.143201 4
371 -23647.531366 0.102653 0.142884 4
372 -23647.429201 0.102165 0.142567 4
373 -23647.327521 0.101680 0.142251 4
374 -23647.226325 0.101196 0.141934 4
375 -23647.125611 0.100714 0.141618 4
376 -23647.025378 0.100234 0.141302 4
377 -23646.925622 0.099755 0.140986 4
Convergence reached!
number of states = 12
number of bins = 6183
maximum number of iterations = 1000
maximum running time = none
epsilon = 0.1
data mean = 58.8193, data variance = 486.587
Iteration log(P) dlog(P) Diff in posterior Time in sec
0 -inf - - 0
1 -24380.580428 inf 6183.000000 0
2 -23357.275929 1023.304498 686.821642 0
3 -23260.421975 96.853955 172.471538 0
4 -23232.483517 27.938458 143.506687 0
5 -23222.142294 10.341223 76.049323 0
6 -23217.735527 4.406767 58.626866 0
7 -23215.521320 2.214207 35.912568 0
8 -23214.276947 1.244373 27.484487 0
9 -23213.395549 0.881398 18.765222 0
10 -23212.605307 0.790242 15.594210 0
11 -23211.762729 0.842578 12.269889 0
12 -23210.839848 0.922881 11.279480 0
13 -23209.921053 0.918795 9.624877 0
14 -23209.118734 0.802320 8.968506 0
15 -23208.463874 0.654860 7.927086 0
16 -23207.924958 0.538916 7.683630 0
17 -23207.463600 0.461358 7.238144 0
18 -23207.046263 0.417337 7.327465 0
19 -23206.646001 0.400262 7.466156 0
Iteration log(P) dlog(P) Diff in posterior Time in sec
20 -23206.242687 0.403315 7.882758 0
21 -23205.828261 0.414426 8.254388 1
22 -23205.414415 0.413846 8.474710 1
23 -23205.032476 0.381939 8.244365 1
24 -23204.714716 0.317760 7.544341 1
25 -23204.473698 0.241018 6.506549 1
26 -23204.300805 0.172894 5.379661 1
27 -23204.178183 0.122622 4.308309 1
28 -23204.088739 0.089444 3.383929 1
Convergence reached!
number of states = 11
number of bins = 5442
maximum number of iterations = 1000
maximum running time = none
epsilon = 0.1
data mean = 63.9717, data variance = 1059.32
Iteration log(P) dlog(P) Diff in posterior Time in sec
0 -inf - - 0
1 -21177.150641 inf 5442.000000 0
2 -20711.054012 466.096629 390.505270 0
3 -20693.275989 17.778024 85.372131 0
4 -20690.239855 3.036134 33.071291 0
5 -20689.163935 1.075919 26.872093 0
6 -20688.762950 0.400986 12.127422 0
7 -20688.580230 0.182719 8.966009 0
8 -20688.472739 0.107491 4.304038 0
9 -20688.396085 0.076655 3.087959 0
Convergence reached!
number of states = 12
number of bins = 5442
maximum number of iterations = 1000
maximum running time = none
epsilon = 0.1
data mean = 63.9717, data variance = 1059.32
Iteration log(P) dlog(P) Diff in posterior Time in sec
0 -inf - - 0
1 -20778.885904 inf 5442.000000 0
2 -20214.840926 564.044978 503.589244 0
3 -20185.942950 28.897975 137.261825 0
4 -20179.925587 6.017363 51.421390 0
5 -20177.170587 2.755000 36.836764 0
6 -20175.645594 1.524994 18.722502 0
7 -20174.658989 0.986605 13.124839 0
8 -20173.895734 0.763255 11.327572 0
9 -20173.167941 0.727793 9.948167 0
10 -20172.282987 0.884954 11.162019 0
11 -20170.984261 1.298726 12.412190 0
12 -20169.145246 1.839014 14.930161 0
13 -20166.835634 2.309613 16.942694 0
14 -20163.895031 2.940602 18.691149 0
15 -20160.410970 3.484061 18.008358 0
16 -20157.717749 2.693221 14.496841 0
17 -20156.213293 1.504456 10.220281 0
18 -20155.444668 0.768625 7.026993 0
19 -20155.094478 0.350190 4.771865 0
Iteration log(P) dlog(P) Diff in posterior Time in sec
20 -20154.925350 0.169128 3.076403 0
21 -20154.827513 0.097837 1.932927 0
Convergence reached!
══ testthat results ═══════════════════════════════════════════════════════════
[ OK: 12 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 0 ]
>
> proc.time()
user system elapsed
21.414 1.303 22.668
Example timings
AneuFinder.Rcheck/AneuFinder-Ex.timings