Package: TrioSGL 1.1.0

Timo Stöcker

TrioSGL: Trio Model with a Combination of Lasso and Group Lasso Regularization

Fit a trio model via penalized maximum likelihood. The model is fit for a path of values of the penalty parameter. This package is based on Noah Simon, et al. (2011) <doi:10.1080/10618600.2012.681250>.

Authors:Timo Stöcker, Noah Simon, Jerome Friedman, Trevor Hastie, and Rob Tibshirani

TrioSGL_1.1.0.tar.gz
TrioSGL_1.1.0.tar.gz(r-4.5-noble)TrioSGL_1.1.0.tar.gz(r-4.4-noble)
TrioSGL_1.1.0.tgz(r-4.4-emscripten)TrioSGL_1.1.0.tgz(r-4.3-emscripten)
TrioSGL.pdf |TrioSGL.html✨
TrioSGL/json (API)

# Install 'TrioSGL' in R:
install.packages('TrioSGL', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3

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

cpp

1.00 score 1 scripts 97 downloads 1 exports 0 dependencies

Last updated 7 years agofrom:ce75c048ba. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 13 2024
R-4.5-linux-x86_64OKDec 13 2024

Exports:TrioSGL

Dependencies: