Package: rRAP 1.1
rRAP: Real-Time Adaptive Penalization for Streaming Lasso Models
An implementation of the Real-time Adaptive Penalization (RAP) algorithm through which to iteratively update a regularization parameter in a streaming context.
Authors:
rRAP_1.1.tar.gz
rRAP_1.1.zip(r-4.5)rRAP_1.1.zip(r-4.4)rRAP_1.1.zip(r-4.3)
rRAP_1.1.tgz(r-4.4-any)rRAP_1.1.tgz(r-4.3-any)
rRAP_1.1.tar.gz(r-4.5-noble)rRAP_1.1.tar.gz(r-4.4-noble)
rRAP_1.1.tgz(r-4.4-emscripten)rRAP_1.1.tgz(r-4.3-emscripten)
rRAP.pdf |rRAP.html✨
rRAP/json (API)
| # Install 'rRAP' in R: |
| install.packages('rRAP', repos = c('https://piomonti.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 8 years agofrom:dca5338c05. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 31 2024 |
| R-4.5-win | OK | Sep 19 2024 |
| R-4.5-linux | OK | Oct 31 2024 |
| R-4.4-win | OK | Sep 19 2024 |
| R-4.4-mac | OK | Sep 19 2024 |
| R-4.3-win | OK | Sep 19 2024 |
| R-4.3-mac | OK | Sep 19 2024 |
Exports:RAP
Dependencies:larslassoshootingMASS
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Real-Time Adaptive Penalization for Streaming Lasso Models | rRAP-package rRAP |
| Predict method for RAP objects | predict.RAP |
| Initialization of a RAP object | RAP |
| Update sparsity parameter and regression coefficients | update.RAP |
