Package: SplitGLM
Type: Package
Title: Split Generalized Linear Models
Version: 1.0.5
Date: 2022-11-21
Authors@R: c(person("Anthony", "Christidis", role=c("aut", "cre"), email = "anthony.christidis@stat.ubc.ca"),
	     person("Stefan", "Van Aelst", role=c("aut"), email = "stefan.vanaelst@kuleuven.be"),
	     person("Ruben", "Zamar", role=c("aut"), email = "ruben@stat.ubc.ca"))
Maintainer: Anthony Christidis <anthony.christidis@stat.ubc.ca>
Description: 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>.
License: GPL (>= 2)
Biarch: true
Imports: Rcpp (>= 1.0.3)
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 7.0.2
Suggests: testthat, vctrs, mvnfast
NeedsCompilation: yes
Repository: https://anthonychristidis.r-universe.dev
Date/Publication: 2024-09-02 18:35:44 UTC
RemoteUrl: https://github.com/anthonychristidis/splitglm
RemoteRef: HEAD
RemoteSha: b2fd48fcb1352c0d83e8773daada3cda19c052d3
Packaged: 2026-06-24 03:13:22 UTC; root
Author: Anthony Christidis [aut, cre],
  Stefan Van Aelst [aut],
  Ruben Zamar [aut]