Package: regRSM 0.5
Pawel Teisseyre
regRSM: Random Subspace Method (RSM) for Linear Regression
Performs Random Subspace Method (RSM) for high-dimensional linear regression to obtain variable importance measures. The final model is chosen based on validation set or Generalized Information Criterion.
Authors:
regRSM_0.5.tar.gz
regRSM_0.5.tar.gz(r-4.7-any)regRSM_0.5.tar.gz(r-4.6-any)
manual.pdf |manual.html✨
card.svg |card.png
regRSM/json (API)
| # Install 'regRSM' in R: |
| install.packages('regRSM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:a68b039ee2. Checks:3 OK, 1 FAIL. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 155 | ||
| source / vignettes | OK | 156 | ||
| linux-release-x86_64 | OK | 124 | ||
| wasm-release | FAIL | 92 |
Exports:ImpPlotregRSMregRSM.defaultregRSM.formularocvalidate
Dependencies:codetoolsdoParallelforeachiteratorsRmpi
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Variable importance plot from 'regRSM' object. | ImpPlot ImpPlot.regRSM |
| Plot from 'regRSM' object. | plot.regRSM |
| Predictions from a 'regRSM' object. | predict.regRSM |
| Print 'regRSM' object. | print.regRSM |
| Random Subspace Method (RSM) for linear regression. | regRSM regRSM.default regRSM.formula |
| ROC curve and AUC parameter. | roc roc.regRSM |
| Print 'regRSM' object. | summary.regRSM |
| Selects the new final model from existing 'regRSM' object. | validate validate.regRSM |