Package: LPS 1.0.17

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.

Authors:Sylvain Mareschal

LPS_1.0.17.tar.gz
LPS_1.0.17.zip(r-4.5)LPS_1.0.17.zip(r-4.4)LPS_1.0.17.zip(r-4.3)
LPS_1.0.17.tgz(r-4.5-any)LPS_1.0.17.tgz(r-4.4-any)LPS_1.0.17.tgz(r-4.3-any)
LPS_1.0.17.tar.gz(r-4.5-noble)LPS_1.0.17.tar.gz(r-4.4-noble)
LPS_1.0.17.tgz(r-4.4-emscripten)LPS_1.0.17.tgz(r-4.3-emscripten)
LPS.pdf |LPS.html
LPS/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/maressyl/r.lps/issues

Datasets:

On CRAN:

3.74 score 1 stars 11 scripts 182 downloads 48 mentions 13 exports 0 dependencies

Last updated 4 years agofrom:8be4099d8e. Checks:3 OK, 5 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 30 2025
R-4.5-winNOTEJan 30 2025
R-4.5-macNOTEJan 30 2025
R-4.5-linuxNOTEJan 30 2025
R-4.4-winOKJan 30 2025
R-4.4-macOKJan 30 2025
R-4.3-winNOTEJan 30 2025
R-4.3-macNOTEJan 30 2025

Exports:clusterizedist.CORhclust.wardheatheat.expheat.linheat.mapheat.scaleLPSLPS.coeffOVLsurv.colorssurv.scale

Dependencies: