Package: DLASSO 2.0.2
DLASSO: Implementation of Adaptive or Non-Adaptive Differentiable Lasso and SCAD Penalties in Linear Models
An implementation of the differentiable lasso (dlasso) and SCAD (dSCAD) using iterative ridge algorithm. This package allows selecting the tuning parameter by AIC, BIC, GIC and GIC.
Authors:
DLASSO_2.0.2.tar.gz
DLASSO_2.0.2.zip(r-4.5)DLASSO_2.0.2.zip(r-4.4)DLASSO_2.0.2.zip(r-4.3)
DLASSO_2.0.2.tgz(r-4.4-any)DLASSO_2.0.2.tgz(r-4.3-any)
DLASSO_2.0.2.tar.gz(r-4.5-noble)DLASSO_2.0.2.tar.gz(r-4.4-noble)
DLASSO_2.0.2.tgz(r-4.4-emscripten)DLASSO_2.0.2.tgz(r-4.3-emscripten)
DLASSO.pdf |DLASSO.html✨
DLASSO/json (API)
| # Install 'DLASSO' in R: |
| install.packages('DLASSO', repos = c('https://hamedhm.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 7 years agofrom:6c785df3f1. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 01 2024 |
| R-4.5-win | OK | Nov 01 2024 |
| R-4.5-linux | OK | Nov 01 2024 |
| R-4.4-win | OK | Nov 01 2024 |
| R-4.4-mac | OK | Nov 01 2024 |
| R-4.3-win | OK | Nov 01 2024 |
| R-4.3-mac | OK | Nov 01 2024 |
Exports:dlasso
Dependencies:MASS
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Extract coefficients from a fitted dlasso model | coef.dlasso |
| An implementation of dlasso using iterative ridge algorithm | dlasso |
| Plot method for dlasso objects | plot.dlasso |
