Package: ppmSDR
Type: Package
Title: Penalized Principal Machine for Sufficient Dimension Reduction
Version: 2.0.0
Authors@R: c(
    person(given = "Jungmin", family = "Shin", role = c("aut", "cre"),
           email = "c16267@gmail.com",
           comment = "Department of Biomedical Informatics, The Ohio State University"),
    person(given = c("Seung", "Jun"), family = "Shin", role = "aut",
           email = "sjshin@korea.ac.kr",
           comment = "Department of Statistics, Korea University"))
Author: Jungmin Shin [aut, cre] (Department of Biomedical Informatics,
        The Ohio State University), Seung Jun Shin [aut] (Department of
        Statistics, Korea University)
Maintainer: Jungmin Shin <c16267@gmail.com>
Description: A unified, computation-friendly framework for penalized
        principal machines (P2M), a class of sparse sufficient
        dimension reduction (SDR) estimators for regression and binary
        classification. Principal machines (PM) estimate the central
        subspace by solving a family of convex-loss problems over
        several cutoffs; their penalized counterparts (P2M) add a
        row-group sparsity penalty so that dimension reduction and
        variable selection are performed simultaneously. All estimators
        are fitted by a single group coordinate descent (GCD) algorithm
        that accommodates least squares, logistic, asymmetric least
        squares, L2-hinge, hinge (support vector machine, SVM) and
        quantile losses, together with the least absolute shrinkage and
        selection operator (LASSO), the smoothly clipped absolute
        deviation (SCAD) penalty and the minimax concave penalty (MCP).
        Methods are described in Li, Artemiou and Li (2011)
        <doi:10.1214/11-AOS932>, Shin and Artemiou (2017)
        <doi:10.1016/j.csda.2016.12.003>, Artemiou, Dong and Shin
        (2021) <doi:10.1016/j.patcog.2020.107768> and Breheny and Huang
        (2015) <doi:10.1007/s11222-013-9424-2>.
Depends: R (>= 4.1.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: stats, Matrix, grpreg, energy
Suggests: MASS, knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/c16267/ppmSDR
BugReports: https://github.com/c16267/ppmSDR/issues
Config/testthat/edition: 3
VignetteBuilder: knitr
NeedsCompilation: no
Config/roxygen2/version: 8.0.0
Packaged: 2026-06-19 18:40:27 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2026-06-19 18:11:54 UTC
RemoteUrl: https://github.com/cran/ppmSDR
RemoteRef: HEAD
RemoteSha: b0c2008712d21be136a574b2eb0d26fde8b3f613