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) 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) . Both approaches extend the quantile regression coefficients modeling framework of Frumento and Bottai (2016) 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 Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.3 Config/pak/sysreqs: cmake make libicu-dev libuv1-dev Repository: https://gianluca-sottile.r-universe.dev Date/Publication: 2026-10-17 06:34:35 UTC RemoteUrl: https://github.com/gianluca-sottile/qrcmnp RemoteRef: HEAD RemoteSha: 790f6016296b93a216ea0e6e38c20e3c9b82e4cc NeedsCompilation: no Packaged: 2026-10-17 10:25:15 UTC; root Author: Gianluca Sottile [aut, cre] (ORCID: ), Paolo Frumento [aut, cph] (author of parts of the code adapted from 'qrcm') Maintainer: Gianluca Sottile