HCmodelSets
Regression with a Large Number of Potential Explanatory Variables
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1.3 |
rolling source/ R- | HCmodelSets_1.1.3.tar.gz |
3.9 MiB |
1.1.3 |
rolling linux/jammy R-4.5 | HCmodelSets_1.1.3.tar.gz |
3.9 MiB |
1.1.3 |
rolling linux/noble R-4.5 | HCmodelSets_1.1.3.tar.gz |
3.9 MiB |
1.1.3 |
latest source/ R- | HCmodelSets_1.1.3.tar.gz |
3.9 MiB |
1.1.3 |
latest linux/jammy R-4.5 | HCmodelSets_1.1.3.tar.gz |
3.9 MiB |
1.1.3 |
latest linux/noble R-4.5 | HCmodelSets_1.1.3.tar.gz |
3.9 MiB |
1.1.3 |
2026-04-23 source/ R- | HCmodelSets_1.1.3.tar.gz |
3.9 MiB |
1.1.3 |
2026-04-09 windows/windows R-4.5 | HCmodelSets_1.1.3.zip |
3.9 MiB |
1.1.3 |
2025-04-20 source/ R- | HCmodelSets_1.1.3.tar.gz |
3.9 MiB |