Package: gamsel 1.8-5
gamsel: Fit Regularization Path for Generalized Additive Models
Using overlap grouped-lasso penalties, 'gamsel' selects whether a term in a 'gam' is nonzero, linear, or a non-linear spline (up to a specified max df per variable). It fits the entire regularization path on a grid of values for the overall penalty lambda, both for gaussian and binomial families. See <doi:10.48550/arXiv.1506.03850> for more details.
Authors:
gamsel_1.8-5.tar.gz
gamsel_1.8-5.zip(r-4.5)gamsel_1.8-5.zip(r-4.4)gamsel_1.8-5.zip(r-4.3)
gamsel_1.8-5.tgz(r-4.4-x86_64)gamsel_1.8-5.tgz(r-4.4-arm64)gamsel_1.8-5.tgz(r-4.3-x86_64)gamsel_1.8-5.tgz(r-4.3-arm64)
gamsel_1.8-5.tar.gz(r-4.5-noble)gamsel_1.8-5.tar.gz(r-4.4-noble)
gamsel_1.8-5.tgz(r-4.4-emscripten)gamsel_1.8-5.tgz(r-4.3-emscripten)
gamsel.pdf |gamsel.html✨
gamsel/json (API)
| # Install 'gamsel' in R: |
| install.packages('gamsel', repos = c('https://trevorhastie.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 2 months agofrom:5af4a69dea. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 25 2024 |
| R-4.5-win-x86_64 | OK | Oct 25 2024 |
| R-4.5-linux-x86_64 | OK | Oct 25 2024 |
| R-4.4-win-x86_64 | OK | Oct 25 2024 |
| R-4.4-mac-x86_64 | OK | Oct 25 2024 |
| R-4.4-mac-aarch64 | OK | Oct 25 2024 |
| R-4.3-win-x86_64 | OK | Oct 25 2024 |
| R-4.3-mac-x86_64 | OK | Oct 25 2024 |
| R-4.3-mac-aarch64 | OK | Oct 25 2024 |
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Fit Regularization Path for Generalized Additive Models | gamsel-package |
| Generate basis | basis.gen |
| Cross-validation Routine for Gamsel | cv.gamsel |
| Fit Regularization Path for Gaussian or Binomial Generalized Additive Model | gamsel |
| Returns active variables | getActive |
| Plotting Routine for Gamsel Cross-Validation Object | plot.cv.gamsel |
| Plotting Routine 'gamsel' Object | plot.gamsel |
| Gamsel Prediction Routine | predict.gamsel |
| print a gamsel object | print.gamsel |
| Generate pseudo-spline bases | pseudo.bases |
| Gamsel summary routine | summary.gamsel |
