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:
squeezy_1.1-1.tar.gz
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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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:e47fe003ae. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 22 2024 |
R-4.5-win | OK | Nov 22 2024 |
R-4.5-linux | OK | Nov 22 2024 |
R-4.4-win | OK | Nov 22 2024 |
R-4.4-mac | OK | Nov 22 2024 |
R-4.3-win | OK | Nov 22 2024 |
R-4.3-mac | OK | Nov 22 2024 |
Exports:dminML.LA.ridgeGLMmAIC.LA.ridgeGLMminML.LA.ridgeGLMnormalityCheckQQsqueezy
Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixmgcvmultiridgemvtnormnlmeplyrpROCRcppRcppEigenshapesnowsnowfallsurvival
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Group-Adaptive Elastic Net Penalised Generalised Linear Models | squeezy-package |
Partial derivatives of -log(ML) of ridge penalised GLMs | dminML.LA.ridgeGLM |
Marginal AIC of a multi-group, ridge penalised GLM | mAIC.LA.ridgeGLM |
-log(ML) of ridge penalised GLMs | minML.LA.ridgeGLM |
Visual posterior check of multivariate normality of the linear predictors | normalityCheckQQ |
Fit a group-adaptive elastic net penalised linear or logistic model | squeezy |