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
Roxygen: list(markdown = TRUE)
URL: https://github.com/egpivo/QuantRegGLasso
Config/testthat/edition: 3
Config/pak/sysreqs: make
Repository: https://egpivo.r-universe.dev
Date/Publication: 2025-10-07 19:00:48 UTC
RemoteUrl: https://github.com/egpivo/quantregglasso
RemoteRef: HEAD
RemoteSha: ccb3acc49c9bdd469c3d8ca7e489dff81b0a6f3b
NeedsCompilation: yes
Packaged: 2026-10-03 07:41:06 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>