lfa: Logistic Factor Analysis for Categorical Data

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

Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("lfa")
AuthorWei Hao, Minsun Song, John D. Storey
Bioconductor views DimensionReduction PrincipalComponent SNP
Date of publicationNone
MaintainerWei Hao <whao@princeton.edu>, John D. Storey <jstorey@princeton.edu>
LicenseGPL-3
Version1.4.0
https://github.com/StoreyLab/lfa

View on Bioconductor

Files

DESCRIPTION
NAMESPACE
R
R/af.R R/data.R R/datahandling.R R/lfa.R R/svd.R
build
build/vignette.rds
data
data/hgdp_subset.rda
inst
inst/doc
inst/doc/lfa.R
inst/doc/lfa.Rnw
inst/doc/lfa.pdf
man
man/af.Rd man/af_snp.Rd man/center.Rd man/centerscale.Rd man/hgdp_subset.Rd man/lfa.Rd man/model.gof.Rd man/pca_af.Rd man/read.bed.Rd man/read.tped.recode.Rd man/trunc.svd.Rd
src
src/Makevars
src/fastmat.c
src/lfa-init.c
src/lfa.c
src/lfa.h
src/lreg.c
vignettes
vignettes/lfa.Rnw
vignettes/lfa.bib

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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