Package: CatReg
Type: Package
Title: Solution Paths for Linear and Logistic Regression Models with
        Categorical Predictors, with SCOPE Penalty
Version: 2.0.3
Date: 2021-06-08
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: 7.1.1
Packaged: 2021-06-08 09:54:32 UTC; grosedj
Author: Benjamin Stokell [aut],
  Daniel Grose [ctb, cre],
  Rajen Shah [ctb]
Maintainer: Daniel Grose <dan.grose@lancaster.ac.uk>
Repository: CRAN
Date/Publication: 2021-06-14 13:50:32 UTC
Built: R 4.3.3; aarch64-apple-darwin20; 2025-01-24 15:04:18 UTC; unix
Archs: CatReg.so.dSYM
