Package: unitquantreg
Title: Parametric Quantile Regression Models for Bounded Data
Version: 0.0.6
Authors@R: c(person(given = "André F. B.", family = "Menezes", role = c("aut", "cre"), email = "andrefelipemaringa@gmail.com", comment = c(ORCID = "0000-0002-3320-9834")),
    person(given = "Josmar", family = "Mazucheli", role = c("aut"), comment = c(ORCID = "0000-0001-6740-0445")))
Maintainer: André F. B. Menezes <andrefelipemaringa@gmail.com>
Description: A collection of parametric quantile regression models for
        bounded data. At present, the package provides 13 parametric
        quantile regression models. It can specify regression structure
        for any quantile and shape parameters. It also provides several
        S3 methods to extract information from fitted model, such as
        residual analysis, prediction, plotting, and model comparison.
        For more computation efficient the [dpqr]'s, likelihood, score
        and hessian functions are written in C++. For further details
        see Mazucheli et. al (2022) <doi:10.1016/j.cmpb.2022.106816>.
License: Apache License (>= 2)
Encoding: UTF-8
ByteCompile: yes
LazyData: true
LinkingTo: Rcpp
Imports: Rcpp, optimx, stats, quantreg, Formula, MASS, numDeriv
Suggests: testthat (>= 3.0.0), rmarkdown, knitr, lmtest, ggplot2, covr
Depends: R (>= 3.5.0)
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.1
NeedsCompilation: yes
URL: https://andrmenezes.github.io/unitquantreg/
BugReports: https://github.com/AndrMenezes/unitquantreg/issues
VignetteBuilder: knitr
Config/pak/sysreqs: cmake
Repository: https://andrmenezes.r-universe.dev
Date/Publication: 2023-09-12 18:09:14 UTC
RemoteUrl: https://github.com/andrmenezes/unitquantreg
RemoteRef: HEAD
RemoteSha: ede7bd6d3cd800567abca8f1cacb3402451fbefa
Packaged: 2026-06-19 11:38:16 UTC; root
Author: André F. B. Menezes [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-3320-9834>),
  Josmar Mazucheli [aut] (ORCID: <https://orcid.org/0000-0001-6740-0445>)