Type: Package
Package: SGPR
Title: Sparse Group Penalized Regression for Bi-Level Variable
        Selection
Version: 0.1.2
Authors@R: c(
    person("Gregor", "Buch", , "buchgregor@gmail.com", role = c("aut", "cre", "cph")),
    person("Andreas", "Schulz", role = "ths"),
    person("Irene", "Schmidtmann", role = "ths"),
    person("Konstantin", "Strauch", role = "ths"),
    person("Philipp", "Wild", role = "ths")
  )
Description: Fits the regularization path of regression models
    (linear and logistic) with additively combined penalty terms. All
    possible combinations with Least Absolute Shrinkage and Selection Operator (LASSO), 
    Smoothly Clipped Absolute Deviation (SCAD), Minimax Concave Penalty (MCP) and 
    Exponential Penalty (EP) are supported. This includes Sparse Group LASSO (SGL), 
    Sparse Group SCAD (SGS), Sparse Group MCP (SGM) and Sparse Group EP (SGE).
    For more information, see Buch, G., Schulz, A., Schmidtmann, I., Strauch, K., & Wild, P. S. (2024) <doi:10.1002/bimj.202200334>.
License: GPL (>= 3)
Imports: Rcpp
LinkingTo: Rcpp
Encoding: UTF-8
RoxygenNote: 7.3.1
NeedsCompilation: yes
Packaged: 2024-05-15 18:52:21 UTC; Mufasa
Author: Gregor Buch [aut, cre, cph],
  Andreas Schulz [ths],
  Irene Schmidtmann [ths],
  Konstantin Strauch [ths],
  Philipp Wild [ths]
Maintainer: Gregor Buch <buchgregor@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-16 14:20:05 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-27 03:12:08 UTC; unix
Archs: SGPR.so.dSYM
