Package: PSGD 1.0.3
Anthony Christidis
PSGD: Projected Subset Gradient Descent
Functions to generate ensembles of generalized linear models using a greedy projected subset gradient descent algorithm. The sparsity and diversity tuning parameters are selected by cross-validation.
Authors:
PSGD_1.0.3.tar.gz
PSGD_1.0.3.tar.gz(r-4.5-noble)PSGD_1.0.3.tar.gz(r-4.4-noble)
PSGD_1.0.3.tgz(r-4.4-emscripten)PSGD_1.0.3.tgz(r-4.3-emscripten)
PSGD.pdf |PSGD.html✨
PSGD/json (API)
NEWS
| # Install 'PSGD' in R: |
| install.packages('PSGD', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Uses libs:
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:7924939cca. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 21 2024 |
| R-4.5-linux-x86_64 | OK | Oct 21 2024 |
Dependencies:RcppRcppArmadillo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Coefficients for cv.PSGD Object | coef.cv.PSGD |
| Coefficients for PSGD Object | coef.PSGD |
| Cross-Validation - Projected Subset Gradient Descent | cv.PSGD |
| Predictions for cv.PSGD Object | predict.cv.PSGD |
| Predictions for PSGD Object | predict.PSGD |
| Projected Subset Gradient Descent | PSGD |
