Package: HCmodelSets
Type: Package
Title: Regression with a Large Number of Potential Explanatory
        Variables
Version: 1.1
Author: H. H. Hoeltgebaum
Maintainer: H. H. Hoeltgebaum <hh3015@ic.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: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10), mvtnorm, ggplot2, survival,
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2019-12-16 19:33:41 UTC; hhelferhoeltgebaum
Repository: CRAN
Date/Publication: 2019-12-16 20:20:06 UTC
Built: R 4.0.0; ; 2020-04-10 09:34:59 UTC; windows
