Package: stepSplitReg
Type: Package
Title: Stepwise Split Regularized Regression
Version: 1.0.3
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"))
Description: Functions to perform stepwise split regularized regression. The approach first 
             uses a stepwise algorithm to split the variables into the models with a goodness
             of fit criterion, and then regularization is applied to each model. The weights 
             of the models in the ensemble are determined based on a criterion selected by 
             the user.
License: GPL (>= 2)
Biarch: true
Imports: Rcpp (>= 1.0.7), SplitGLM, nnls
Suggests: testthat, mvnfast
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 7.1.1
NeedsCompilation: yes
Packaged: 2022-11-21 23:49:55 UTC; antho
Author: Anthony Christidis [aut, cre],
  Stefan Van Aelst [aut],
  Ruben Zamar [aut]
Maintainer: Anthony Christidis <anthony.christidis@stat.ubc.ca>
Repository: CRAN
Date/Publication: 2022-11-22 09:10:02 UTC
Built: R 4.3.0; x86_64-apple-darwin20; 2023-04-02 01:12:24 UTC; unix
Archs: stepSplitReg.so.dSYM
