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HCmodelSets: Regression with a Large Number of Potential ExplanatoryVariables

Software for performing the reduction, exploratory and model selection phases of the procedure proposed by Cox, D.R. and Battey, H.S. (2017) <doi:10.1073/pnas.1703764114> for sparse regression when the number of potential explanatory variables far exceeds the sample size. The software supports linear regression, likelihood-based fitting of generalized linear regression models and the proportional hazards model fitted by partial likelihood.

Version:1.1.3
Depends:R (≥ 3.5.0),mvtnorm,ggplot2,survival
Suggests:R.rsp
Published:2023-03-15
DOI:10.32614/CRAN.package.HCmodelSets
Author:H. H. Hoeltgebaum
Maintainer:H. Battey <h.battey at imperial.ac.uk>
BugReports:https://github.com/hhhelfer/HCmodelSets/issues
License:GPL-2 |GPL-3
NeedsCompilation:no
CRAN checks:HCmodelSets results

Documentation:

Reference manual:HCmodelSets.html ,HCmodelSets.pdf
Vignettes:R packages: vignettes for HCmodelSets (source)

Downloads:

Package source: HCmodelSets_1.1.3.tar.gz
Windows binaries: r-devel:HCmodelSets_1.1.3.zip, r-release:HCmodelSets_1.1.3.zip, r-oldrel:HCmodelSets_1.1.3.zip
macOS binaries: r-release (arm64):HCmodelSets_1.1.3.tgz, r-oldrel (arm64):HCmodelSets_1.1.3.tgz, r-release (x86_64):HCmodelSets_1.1.3.tgz, r-oldrel (x86_64):HCmodelSets_1.1.3.tgz
Old sources: HCmodelSets archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=HCmodelSetsto link to this page.


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