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:Hamed Haseli Mashhadi <[email protected]>

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-4.5-any)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'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 1 stars 3 scripts 178 downloads 1 exports 1 dependencies

Last updated 8 years agofrom:6c785df3f1. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 31 2025
R-4.5-winOKMar 31 2025
R-4.5-macOKMar 31 2025
R-4.5-linuxOKMar 31 2025
R-4.4-winOKMar 31 2025
R-4.4-macOKMar 31 2025
R-4.4-linuxOKMar 31 2025
R-4.3-winOKMar 31 2025
R-4.3-macOKMar 31 2025

Exports:dlasso

Dependencies:MASS