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")):

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.

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

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

Suggests	knitr, rmarkdown, BiocStyle, testthat
Linking To	Rcpp
Enhances
Depends On Me
Imports Me
Suggests Me	splatter
Links To Me
Build Report	Build Report

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/
Package Downloads Report	Download Stats