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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 |
| 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 |
| Reference manual: | HCmodelSets.pdf |
| Vignettes: |
R packages: vignettes for HCmodelSets |
| 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 |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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