lfa

DOI: 10.18129/B9.bioc.lfa    

Logistic Factor Analysis for Categorical Data

Bioconductor version: Release (3.6)

LFA is a method for a PCA analogue on Binomial data via estimation of latent structure in the natural parameter.

Author: Wei Hao, Minsun Song, John D. Storey

Maintainer: Wei Hao <whao at princeton.edu>, John D. Storey <jstorey at princeton.edu>

Installation

To install this package, start R and enter:

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

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("lfa")

 

PDF	R Script	lfa Package
PDF		Reference Manual

Details

biocViews	DimensionReduction, PrincipalComponent, SNP, Software
Version	1.8.0
In Bioconductor since	BioC 3.2 (R-3.2) (2.5 years)
License	GPL-3
Depends	R (>= 3.2)
Imports	corpcor
LinkingTo
Suggests	knitr, ggplot2
SystemRequirements
Enhances
URL	https://github.com/StoreyLab/lfa
BugReports	https://github.com/StoreyLab/lfa/issues
Depends On Me
Imports Me	gcatest
Suggests Me
Build Report

Package Archives

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

Source Package	lfa_1.8.0.tar.gz
Windows Binary	lfa_1.8.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan)	lfa_1.8.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/lfa
Package Short Url	http://bioconductor.org/packages/lfa/
Package Downloads Report	Download Stats