Package: SplitGLM 1.0.6

Anthony Christidis

SplitGLM: Split Generalized Linear Models

Functions to compute split generalized linear models. The approach fits generalized linear models that split the covariates into groups. The optimal split of the variables into groups and the regularized estimation of the coefficients are performed by minimizing an objective function that encourages sparsity within each group and diversity among them. Example applications can be found in Christidis et al. (2021) <doi:10.48550/arXiv.2102.08591>.

Authors:Anthony Christidis [aut, cre], Stefan Van Aelst [aut], Ruben Zamar [aut]

SplitGLM_1.0.6.tar.gz
SplitGLM_1.0.6.tar.gz(r-4.7-arm64)SplitGLM_1.0.6.tar.gz(r-4.7-x86_64)SplitGLM_1.0.6.tar.gz(r-4.6-arm64)SplitGLM_1.0.6.tar.gz(r-4.6-x86_64)
SplitGLM_1.0.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
SplitGLM/json (API)
NEWS

# Install 'SplitGLM' in R:
install.packages('SplitGLM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

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

cppopenmp

2.18 score 1 packages 2 scripts 233 downloads 2 exports 2 dependencies

Last updated from:2e8ee32385. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK161
linux-devel-x86_64OK137
source / vignettesOK187
linux-release-arm64OK185
linux-release-x86_64OK154
wasm-releaseOK142

Exports:cv.SplitGLMSplitGLM

Dependencies:RcppRcppArmadillo