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 (3.3)

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")):

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 1.2.2
In Bioconductor since BioC 3.2 (R-3.2) (0.5 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.

Package Source lfa_1.2.2.tar.gz
Windows Binary lfa_1.2.2.zip (32- & 64-bit)
Mac OS X 10.9 (Mavericks) lfa_1.2.2.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/lfa/tree/release-3.3
Package Short Url http://bioconductor.org/packages/lfa/
Package Downloads Report Download Stats

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations:

Fred Hutchinson Cancer Research Center