Package: SplitGLM 1.0.5

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) <arxiv:2102.08591>.

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

SplitGLM_1.0.5.tar.gz
SplitGLM_1.0.5.zip(r-4.7)SplitGLM_1.0.5.zip(r-4.6)SplitGLM_1.0.5.zip(r-4.5)
SplitGLM_1.0.5.tgz(r-4.6-x86_64)SplitGLM_1.0.5.tgz(r-4.6-arm64)SplitGLM_1.0.5.tgz(r-4.5-x86_64)SplitGLM_1.0.5.tgz(r-4.5-arm64)
SplitGLM_1.0.5.tar.gz(r-4.7-arm64)SplitGLM_1.0.5.tar.gz(r-4.7-x86_64)SplitGLM_1.0.5.tar.gz(r-4.6-arm64)SplitGLM_1.0.5.tar.gz(r-4.6-x86_64)
SplitGLM_1.0.5.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://anthonychristidis.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/anthonychristidis/splitglm/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

cppopenmp

3.18 score 1 packages 2 scripts 203 downloads 2 exports 2 dependencies

Last updated from:b2fd48fcb1. Checks:10 OK, 2 NOTE, 1 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK157
linux-devel-x86_64OK163
source / vignettesOK280
linux-release-arm64OK166
linux-release-x86_64OK171
macos-release-arm64OK106
macos-release-x86_64OK362
macos-oldrel-arm64OK112
macos-oldrel-x86_64OK315
windows-develNOTE209
windows-releaseNOTE160
windows-oldrelFAIL145
wasm-releaseOK162

Exports:cv.SplitGLMSplitGLM

Dependencies:RcppRcppArmadillo