Package: HCmodelSets
Type: Package
Title: Regression with a Large Number of Potential Explanatory
        Variables
Version: 1.1.3
Author: H. H. Hoeltgebaum
Maintainer: H. Battey <h.battey@imperial.ac.uk>
BugReports: https://github.com/hhhelfer/HCmodelSets/issues
Description: 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.
License: GPL-2 | GPL-3
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Depends: R (>= 3.5.0), mvtnorm, ggplot2, survival,
RoxygenNote: 7.1.0
NeedsCompilation: no
Suggests: R.rsp
VignetteBuilder: R.rsp
Repository: https://hhhelfer.r-universe.dev
Date/Publication: 2023-03-15 09:12:05 UTC
RemoteUrl: https://github.com/hhhelfer/hcmodelsets
RemoteRef: HEAD
RemoteSha: 86cf106915cf493c55585f6f3cdb26daf6a48daa
RemoteSubdir: HCmodelSets
Packaged: 2026-09-22 09:53:17 UTC; root