To install this package, start R and enter:

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

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

lfa

Logistic Factor Analysis for Categorical Data

Bioconductor version: Release (3.4)

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>

Citation (from within R, enter citation("lfa")):

To install this package, start R and enter:

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

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

biocViews	DimensionReduction, PrincipalComponent, SNP, Software
Version	1.4.0
In Bioconductor since	BioC 3.2 (R-3.2) (1.5 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

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

Package Source	lfa_1.4.0.tar.gz
Windows Binary	lfa_1.4.0.zip (32- & 64-bit)
Mac OS X 10.9 (Mavericks)	lfa_1.4.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/lfa/tree/release-3.4
Package Short Url	http://bioconductor.org/packages/lfa/
Package Downloads Report	Download Stats

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