To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("mfa")

In most cases, you don't need to download the package archive at all.

mfa

DOI: 10.18129/B9.bioc.mfa    

Bayesian hierarchical mixture of factor analyzers for modelling genomic bifurcations

Bioconductor version: Release (3.6)

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 and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("mfa")

Documentation

HTML R Script Vignette Title
PDF   Reference Manual

Details

biocViews Bayesian, GeneExpression, RNASeq, SingleCell, Software
Version 1.0.0
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
Build Report  

Package Archives

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

Source Package mfa_1.0.0.tar.gz
Windows Binary mfa_1.0.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan) mfa_1.0.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/mfa
Package Short Url http://bioconductor.org/packages/mfa/
Package Downloads Report Download Stats

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