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-4.5)SplitGLM_1.0.5.zip(r-4.4)SplitGLM_1.0.5.zip(r-4.3)
SplitGLM_1.0.5.tgz(r-4.4-x86_64)SplitGLM_1.0.5.tgz(r-4.4-arm64)SplitGLM_1.0.5.tgz(r-4.3-x86_64)SplitGLM_1.0.5.tgz(r-4.3-arm64)
SplitGLM_1.0.5.tar.gz(r-4.5-noble)SplitGLM_1.0.5.tar.gz(r-4.4-noble)
SplitGLM_1.0.5.tgz(r-4.4-emscripten)SplitGLM_1.0.5.tgz(r-4.3-emscripten)
SplitGLM.pdf |SplitGLM.html
SplitGLM/json (API)
NEWS

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

Peer review:

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

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

On CRAN:

3.18 score 1 packages 2 scripts 186 downloads 2 exports 2 dependencies

Last updated 3 months agofrom:b2fd48fcb1. Checks:OK: 6 NOTE: 3. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 01 2024
R-4.5-win-x86_64NOTENov 01 2024
R-4.5-linux-x86_64OKNov 01 2024
R-4.4-win-x86_64NOTENov 01 2024
R-4.4-mac-x86_64OKNov 01 2024
R-4.4-mac-aarch64OKNov 01 2024
R-4.3-win-x86_64NOTENov 01 2024
R-4.3-mac-x86_64OKNov 01 2024
R-4.3-mac-aarch64OKNov 01 2024

Exports:cv.SplitGLMSplitGLM

Dependencies:RcppRcppArmadillo