lfa
This package is for version 3.8 of Bioconductor; for the stable, up-to-date release version, see lfa.
Logistic Factor Analysis for Categorical Data
Bioconductor version: 3.8
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 (version "3.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("lfa")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("lfa")| lfa Package | R Script | |
| Reference Manual |
Details
| biocViews | DimensionReduction, PrincipalComponent, SNP, Software |
| Version | 1.12.0 |
| In Bioconductor since | BioC 3.2 (R-3.2) (8.5 years) |
| License | GPL-3 |
| Depends | R (>= 3.2) |
| Imports | corpcor |
| System Requirements | |
| URL | https://github.com/StoreyLab/lfa |
| Bug Reports | https://github.com/StoreyLab/lfa/issues |
See More
| Suggests | knitr, ggplot2 |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | gcatest |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | lfa_1.12.0.tar.gz |
| Windows Binary | lfa_1.12.0.zip (32- & 64-bit) |
| Mac OS X 10.11 (El Capitan) | lfa_1.12.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/lfa |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/lfa |
| Bioc Package Browser | https://code.bioconductor.org/browse/lfa/ |
| Package Short Url | https://bioconductor.org/packages/lfa/ |
| Package Downloads Report | Download Stats |
| Old Source Packages for BioC 3.8 | Source Archive |