LPS: Linear Predictor Score, for Binary Inference from Multiple Continuous Variables

An implementation of the Linear Predictor Score approach, as initiated by Radmacher et al. (J Comput Biol 2001) and enhanced by Wright et al. (PNAS 2003) for gene expression signatures. Several tools for unsupervised clustering of gene expression data are also provided.

Version: 1.0.16
Depends: graphics, grDevices, R (≥ 2.10)
Imports: stats, utils, methods
Suggests: limma
Published: 2021-05-29
Author: Sylvain Mareschal
Maintainer: Sylvain Mareschal <maressyl at gmail.com>
BugReports: https://github.com/maressyl/R.LPS/issues
License: GPL (≥ 3)
URL: https://bioinformatics.ovsa.fr/LPS
NeedsCompilation: no
Materials: README NEWS
CRAN checks: LPS results

Documentation:

Reference manual: LPS.pdf

Downloads:

Package source: LPS_1.0.16.tar.gz
Windows binaries: r-devel: LPS_1.0.16.zip, r-release: LPS_1.0.16.zip, r-oldrel: LPS_1.0.16.zip
macOS binaries: r-release (arm64): LPS_1.0.16.tgz, r-release (x86_64): LPS_1.0.16.tgz, r-oldrel: LPS_1.0.16.tgz
Old sources: LPS archive

Linking:

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