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
DESCRIPTION |NEWS
card.svg |card.png
SplitGLM/json (API)

# 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 3 scripts 288 downloads 2 exports 2 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-arm64OK164
linux-devel-x86_64OK204
source / vignettesOK244
linux-release-arm64OK180
linux-release-x86_64OK163
macos-release-arm64OK108
macos-release-x86_64OK294
macos-oldrel-arm64OK98
macos-oldrel-x86_64OK248
windows-develNOTE223
windows-releaseNOTE155
windows-oldrelFAIL68
wasm-releaseOK146

Exports:cv.SplitGLMSplitGLM

Dependencies:RcppRcppArmadillo