HCmodelSets: An R Package for Specifying Sets of Well-fitting Models in High Dimensions
Package: HCmodelSets 1.1.3
H. Battey
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.
Authors:
HCmodelSets_1.1.3.tar.gz
HCmodelSets_1.1.3.zip(r-4.7-any)HCmodelSets_1.1.3.zip(r-4.6-any)HCmodelSets_1.1.3.zip(r-4.5-any)
HCmodelSets_1.1.3.tgz(r-4.6-any)HCmodelSets_1.1.3.tgz(r-4.5-any)
HCmodelSets_1.1.3.tar.gz(r-4.7-any)HCmodelSets_1.1.3.tar.gz(r-4.6-any)
HCmodelSets_1.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
HCmodelSets/json (API)
| # Install 'HCmodelSets' in R: |
| install.packages('HCmodelSets', repos = c('https://hhhelfer.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/hhhelfer/hcmodelsets/issues
Datasets:
- patient.data - Lymphoma patients data set.
Last updated from:86cf106915. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 154 | ||
| source / vignettes | OK | 180 | ||
| linux-release | OK | 144 | ||
| macos-release | OK | 233 | ||
| macos-oldrel | OK | 201 | ||
| windows-devel | OK | 102 | ||
| windows-release | OK | 103 | ||
| windows-oldrel | OK | 100 | ||
| wasm-release | OK | 146 |
Exports:DGPExploratory.PhaseModelSelection.PhaseReduction.Phase
Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglatticelifecycleMatrixmvtnormR6RColorBrewerrlangS7scalessurvivalvctrsviridisLitewithr
