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
Packaged: 2022-11-21 22:20:43 UTC; antho
Author: Anthony Christidis [aut, cre],
  Stefan Van Aelst [aut],
  Ruben Zamar [aut]
Repository: CRAN
Date/Publication: 2022-11-22 09:30:05 UTC
Built: R 4.4.0; x86_64-apple-darwin20; 2024-04-08 00:28:56 UTC; unix
Archs: SplitGLM.so.dSYM
