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mfa

Bayesian hierarchical mixture of factor analyzers for modelling genomic bifurcations


Bioconductor version: Release (3.18)

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 "4.3") 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 1.24.0
In Bioconductor since BioC 3.6 (R-3.4) (6.5 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
Suggests Me splatter
Links To Me
Build Report Build Report

Package Archives

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

Source Package mfa_1.24.0.tar.gz
Windows Binary mfa_1.24.0.zip
macOS Binary (x86_64) mfa_1.24.0.tgz
macOS Binary (arm64) mfa_1.24.0.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/
Package Downloads Report Download Stats