Package: grpsel 1.3.2
Ryan Thompson
grpsel: Group Subset Selection
Provides tools for sparse regression modelling with grouped predictors using the group subset selection penalty. Uses coordinate descent and local search algorithms to rapidly deliver near optimal estimates. The group subset penalty can be combined with a group lasso or ridge penalty for added shrinkage. Linear and logistic regression are supported, as are overlapping groups.
Authors:
grpsel_1.3.2.tar.gz
grpsel_1.3.2.tar.gz(r-4.5-noble)grpsel_1.3.2.tar.gz(r-4.4-noble)
grpsel_1.3.2.tgz(r-4.4-emscripten)grpsel_1.3.2.tgz(r-4.3-emscripten)
grpsel.pdf |grpsel.html✨
grpsel/json (API)
NEWS
| # Install 'grpsel' in R: |
| install.packages('grpsel', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ryan-thompson/grpsel/issues
Last updated 1 months agofrom:7f4494e3d8. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 28 2024 |
| R-4.5-linux-x86_64 | OK | Dec 28 2024 |
Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerRcppRcppArmadillorlangscalestibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Coefficient function for cv.grpsel object | coef.cv.grpsel |
| Coefficient function for grpsel object | coef.grpsel |
| Cross-validated group subset selection | cv.grpsel |
| Group subset selection | grpsel |
| Plot function for cv.grpsel object | plot.cv.grpsel |
| Plot function for grpsel object | plot.grpsel |
| Predict function for cv.grpsel object | predict.cv.grpsel |
| Predict function for grpsel object | predict.grpsel |
