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]

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Last updated 2 years agofrom:e47fe003ae. Checks:OK: 7. Indexed: yes.

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

Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixmgcvmultiridgemvtnormnlmeplyrpROCRcppRcppEigenshapesnowsnowfallsurvival