mfa

DOI: 10.18129/B9.bioc.mfa    

This package is for version 3.9 of Bioconductor; for the stable, up-to-date release version, see mfa.

Bayesian hierarchical mixture of factor analyzers for modelling genomic bifurcations

Bioconductor version: 3.9

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

Author: Kieran Campbell [aut, cre]

Maintainer: Kieran Campbell <kieranrcampbell at gmail.com>

Installation

To install this package, start R (version "3.6") and enter:

if (!requireNamespace("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")

 

HTML	R Script	Vignette Title
PDF		Reference Manual

Details

biocViews	Bayesian, GeneExpression, ImmunoOncology, RNASeq, SingleCell, Software
Version	1.6.0
In Bioconductor since	BioC 3.6 (R-3.4) (2 years)
License	GPL (>= 2)
Depends	R (>= 3.4.0)
Imports	methods, stats, ggplot2, Rcpp, dplyr, ggmcmc, MCMCpack, MCMCglmm, coda, magrittr, tibble, Biobase
LinkingTo	Rcpp
Suggests	knitr, rmarkdown, BiocStyle, testthat
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me	splatter
Links To Me
Build Report

Package Archives

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

Source Package	mfa_1.6.0.tar.gz
Windows Binary	mfa_1.6.0.zip
Mac OS X 10.11 (El Capitan)	mfa_1.6.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/mfa
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/mfa
Package Short Url	https://bioconductor.org/packages/mfa/
Package Downloads Report	Download Stats