Package: CatReg
Type: Package
Title: Solution Paths for Linear and Logistic Regression Models with
        Categorical Predictors, with SCOPE Penalty
Version: 2.0.4
Date: 2025-12-03
Authors@R: c(person("Benjamin","Stokell",email="b.stokell@statslab.cam.ac.uk",role=c("aut")),
             person("Daniel","Grose",email="dan.grose@lancaster.ac.uk",role=c("ctb","cre")),
	     person("Rajen","Shah",email="r.shah@statslab.cam.ac.uk",role=c("ctb")))	
Description: Computes solutions for linear and logistic regression
        models with potentially high-dimensional categorical
        predictors. This is done by applying a nonconvex penalty
        (SCOPE) and computing solutions in an efficient path-wise
        fashion. The scaling of the solution paths is selected
        automatically. Includes functionality for selecting tuning
        parameter lambda by k-fold cross-validation and early
        termination based on information criteria. Solutions are
        computed by cyclical block-coordinate descent, iterating an
        innovative dynamic programming algorithm to compute exact
        solutions for each block.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.1),Rdpack
LinkingTo: Rcpp
NeedsCompilation: yes
RdMacros: Rdpack
RoxygenNote: 7.3.3
Packaged: 2026-09-24 07:00:32 UTC; root
Author: Benjamin Stokell [aut], Daniel Grose [ctb, cre], Rajen Shah
        [ctb]
Maintainer: Daniel Grose <dan.grose@lancaster.ac.uk>
Repository: https://cran.r-universe.dev
Date/Publication: 2025-12-03 11:00:09 UTC
RemoteUrl: https://github.com/cran/CatReg
RemoteRef: HEAD
RemoteSha: 6689d3362ac44700eadae554ffb57d35341c96b1