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>

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