Package: QuantRegGLasso
Title: Adaptively Weighted Group Lasso for Semiparametric Quantile
        Regression Models
Version: 1.0.1
Authors@R: c(person(
                given = "Wen-Ting",
                family = "Wang",
                email = "egpivo@gmail.com",
                role = c("aut", "cre"),
                comment = c(ORCID = "0000-0003-3051-7302")
              ),
              person(
                given = "Wei-Ying",
                family = "Wu",
                email = "wuweiying1011@gmail.com",
                role = c("aut")
              ),
              person(
                given = "Toshio",
                family = "Honda",
                email = "t.honda@r.hit-u.ac.jp",
                role = c("aut")
              ),
              person(
                given = "Ching-Kang",
                family = "Ing",
                email="cking@stat.nthu.edu.tw",
                role = c("aut"),
                comment = c(ORCID = "0000-0003-1362-8246")
              )
            )
Description: Implements an adaptively weighted group Lasso procedure
        for simultaneous variable selection and structure
        identification in varying coefficient quantile regression
        models and additive quantile regression models with ultra-high
        dimensional covariates. The methodology, grounded in a strong
        sparsity condition, establishes selection consistency under
        certain weight conditions. To address the challenge of tuning
        parameter selection in practice, a BIC-type criterion named
        high-dimensional information criterion (HDIC) is proposed. The
        Lasso procedure, guided by HDIC-determined tuning parameters,
        maintains selection consistency. Theoretical findings are
        strongly supported by simulation studies. (Toshio Honda,
        Ching-Kang Ing, Wei-Ying Wu, 2019, <DOI:10.3150/18-BEJ1091>).
License: GPL (>= 2)
ByteCompile: true
BugReports: https://github.com/egpivo/QuantRegGLasso/issues
Depends: R (>= 3.4.0)
Imports: Rcpp (>= 1.0.12), ggplot2
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, testthat (>= 2.1.0)
SystemRequirements: GNU make
Encoding: UTF-8
RoxygenNote: 7.2.3
URL: https://github.com/egpivo/QuantRegGLasso
Config/testthat/edition: 3
NeedsCompilation: yes
Packaged: 2026-10-13 12:19:51 UTC; root
Author: Wen-Ting Wang [aut, cre] (ORCID:
        <https://orcid.org/0000-0003-3051-7302>), Wei-Ying Wu [aut],
        Toshio Honda [aut], Ching-Kang Ing [aut] (ORCID:
        <https://orcid.org/0000-0003-1362-8246>)
Maintainer: Wen-Ting Wang <egpivo@gmail.com>
Config/pak/sysreqs: make
Repository: https://cran.r-universe.dev
Date/Publication: 2025-10-06 03:30:02 UTC
RemoteUrl: https://github.com/cran/QuantRegGLasso
RemoteRef: HEAD
RemoteSha: 08c5b219bdcdaf6b657505b36cad385827c56b10