mfa

Bayesian hierarchical mixture of factor analyzers for modelling genomic bifurcations


Bioconductor version: Release (3.19)

MFA models genomic bifurcations using a Bayesian hierarchical mixture of factor analysers.

Author: Kieran Campbell [aut, cre]

Maintainer: Kieran Campbell <kieranrcampbell at gmail.com>

Citation (from within R, enter citation("mfa")):

Installation

To install this package, start R (version "4.4") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("mfa")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("mfa")
Vignette Title HTML R Script
Reference Manual PDF

Details

biocViews Bayesian, GeneExpression, ImmunoOncology, RNASeq, SingleCell, Software
Version 1.26.0
In Bioconductor since BioC 3.6 (R-3.4) (7 years)
License GPL (>= 2)
Depends R (>= 3.4.0)
Imports methods, stats, ggplot2, Rcpp, dplyr, ggmcmc, MCMCpack, MCMCglmm, coda, magrittr, tibble, Biobase
System Requirements
URL
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Suggests knitr, rmarkdown, BiocStyle, testthat
Linking To Rcpp
Enhances
Depends On Me
Imports Me
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Links To Me
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package mfa_1.26.0.tar.gz
Windows Binary (x86_64) mfa_1.26.0.zip (64-bit only)
macOS Binary (x86_64) mfa_1.26.0.tgz
macOS Binary (arm64) mfa_1.26.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/mfa
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/mfa
Bioc Package Browser https://code.bioconductor.org/browse/mfa/
Package Short Url https://bioconductor.org/packages/mfa/
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