Package: squeezy 1.1-1

squeezy: Group-Adaptive Elastic Net Penalised Generalised Linear Models

Fit linear and logistic regression models penalised with group-adaptive elastic net penalties. The group penalties correspond to groups of covariates defined by a co-data group set. The method accommodates inclusion of unpenalised covariates and overlapping groups. See Van Nee et al. (2021) <arxiv:2101.03875>.

Authors:Mirrelijn M. van Nee [aut, cre], Tim van de Brug [aut], Mark A. van de Wiel [aut]

squeezy_1.1-1.tar.gz
squeezy_1.1-1.zip(r-4.5)squeezy_1.1-1.zip(r-4.4)squeezy_1.1-1.zip(r-4.3)
squeezy_1.1-1.tgz(r-4.4-any)squeezy_1.1-1.tgz(r-4.3-any)
squeezy_1.1-1.tar.gz(r-4.5-noble)squeezy_1.1-1.tar.gz(r-4.4-noble)
squeezy_1.1-1.tgz(r-4.4-emscripten)squeezy_1.1-1.tgz(r-4.3-emscripten)
squeezy.pdf |squeezy.html
squeezy/json (API)

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

Peer review:

On CRAN:

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

1.00 score 5 scripts 684 downloads 5 exports 18 dependencies

Last updated 3 years agofrom:e47fe003ae. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 22 2024
R-4.5-winOKNov 22 2024
R-4.5-linuxOKNov 22 2024
R-4.4-winOKNov 22 2024
R-4.4-macOKNov 22 2024
R-4.3-winOKNov 22 2024
R-4.3-macOKNov 22 2024

Exports:dminML.LA.ridgeGLMmAIC.LA.ridgeGLMminML.LA.ridgeGLMnormalityCheckQQsqueezy

Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixmgcvmultiridgemvtnormnlmeplyrpROCRcppRcppEigenshapesnowsnowfallsurvival