Package: lpc 1.0.2.1

lpc: Lassoed Principal Components for Testing Significance of Features

Implements the LPC method of Witten&Tibshirani(Annals of Applied Statistics 2008) for identification of significant genes in a microarray experiment.

Authors:Daniela M Witten and Robert Tibshirani

lpc_1.0.2.1.tar.gz
lpc_1.0.2.1.zip(r-4.7)lpc_1.0.2.1.zip(r-4.6)lpc_1.0.2.1.zip(r-4.5)
lpc_1.0.2.1.tgz(r-4.6-any)lpc_1.0.2.1.tgz(r-4.5-any)
lpc_1.0.2.1.tar.gz(r-4.7-any)lpc_1.0.2.1.tar.gz(r-4.6-any)
lpc_1.0.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
lpc/json (API)

# Install 'lpc' in R:
install.packages('lpc', repos = c('https://danielawitten.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 7 scripts 188 downloads 9 exports 0 dependencies

Last updated from:3bdb9d31bf. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK104
source / vignettesOK118
linux-release-x86_64OK104
macos-release-arm64OK99
macos-oldrel-arm64OK72
windows-develOK85
windows-releaseOK71
windows-oldrelOK53
wasm-releaseOK84

Exports:EstimateLPCFDREstimateTFDRLPCPlotFDRsPredictiveAdvantageprint.lpcfdrobjprint.lpcobjprint.tfdrobjPrintGeneList

Dependencies: