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: 2026-10-14 07:37:27 UTC; root
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: https://gregorbuch.r-universe.dev
Date/Publication: 2024-05-17 02:37:26 UTC
RemoteUrl: https://github.com/cran/SGPR
RemoteRef: HEAD
RemoteSha: 2bd3d649a63e6c007b2253895279831dbd63485f