Package: qrcmNP
Type: Package
Title: Nonlinear and Penalized Quantile Regression Coefficients
        Modeling
Version: 1.0.0
Authors@R: c(
    person("Gianluca", "Sottile", email = "gianluca.sottile@unipa.it",
           role = c("aut", "cre"), comment = c(ORCID = "0000-0001-9347-7251")),
    person("Paolo", "Frumento", role = c("aut", "cph"),
           comment = "author of parts of the code adapted from 'qrcm'"))
Description: Penalized and nonlinear parametric modeling of quantile
    regression coefficient functions. The penalized integrated loss
    minimization estimator (lasso and group lasso penalties) of Sottile,
    Frumento, Chiodi and Bottai (2020) <doi:10.1177/1471082X19825523>
    performs covariate selection using the information on all quantiles
    simultaneously. Nonlinear parametric quantile models, in which the
    conditional quantile function can be a nonlinear function of the
    parameters, of the covariates or both, are estimated by integrated
    loss minimization as in Bottai and Cilluffo (2020)
    <doi:10.1177/0962280220941159>. Both approaches extend the quantile
    regression coefficients modeling framework of Frumento and Bottai
    (2016) <doi:10.1111/biom.12410> implemented in 'qrcm'.
License: GPL-2
URL: https://github.com/gianluca-sottile/qrcmNP
BugReports: https://github.com/gianluca-sottile/qrcmNP/issues
Depends: R (>= 4.1.0)
Imports: graphics, grDevices, qrcm (>= 3.0), stats, survival (>= 2.41),
        utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
Encoding: UTF-8
Language: en-US
Config/roxygen2/version: 8.1.1
NeedsCompilation: no
Packaged: 2026-10-29 13:49:45 UTC; gianlucasottile
Author: Gianluca Sottile [aut, cre] (ORCID:
    <https://orcid.org/0000-0001-9347-7251>),
  Paolo Frumento [aut, cph] (author of parts of the code adapted from
    'qrcm')
Maintainer: Gianluca Sottile <gianluca.sottile@unipa.it>
Repository: CRAN
Date/Publication: 2026-10-30 09:50:07 UTC
