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:H. H. Hoeltgebaum

HCmodelSets_1.1.3.tar.gz
HCmodelSets_1.1.3.zip(r-4.5)HCmodelSets_1.1.3.zip(r-4.4)HCmodelSets_1.1.3.zip(r-4.3)
HCmodelSets_1.1.3.tgz(r-4.4-any)HCmodelSets_1.1.3.tgz(r-4.3-any)
HCmodelSets_1.1.3.tar.gz(r-4.5-noble)HCmodelSets_1.1.3.tar.gz(r-4.4-noble)
HCmodelSets_1.1.3.tgz(r-4.4-emscripten)HCmodelSets_1.1.3.tgz(r-4.3-emscripten)
HCmodelSets.pdf |HCmodelSets.html✨
HCmodelSets/json (API)

# Install 'HCmodelSets' in R:
install.packages('HCmodelSets', repos = c('https://hhhelfer.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/hhhelfer/hcmodelsets/issues

Datasets:

On CRAN:

4.00 score 2 stars 5 scripts 344 downloads 4 exports 30 dependencies

Last updated 2 years agofrom:86cf106915. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 15 2024
R-4.5-winOKNov 15 2024
R-4.5-linuxOKNov 15 2024
R-4.4-winOKNov 15 2024
R-4.4-macOKNov 15 2024
R-4.3-winOKNov 15 2024
R-4.3-macOKNov 15 2024

Exports:DGPExploratory.PhaseModelSelection.PhaseReduction.Phase

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellmvtnormnlmepillarpkgconfigR6RColorBrewerrlangscalessurvivaltibbleutf8vctrsviridisLitewithr

R packages: vignettes for HCmodelSets

Rendered fromRJ-2019-057.pdf.asisusingR.rsp::asison Nov 15 2024.

Last update: 2020-04-20
Started: 2020-04-20