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)
RoxygenNote: 7.2.1
NeedsCompilation: yes
URL: https://andrmenezes.github.io/unitquantreg/
BugReports: https://github.com/AndrMenezes/unitquantreg/issues
VignetteBuilder: knitr
Packaged: 2023-09-05 09:00:00 UTC; amenezes
Author: André F. B. Menezes [aut, cre]
    (<https://orcid.org/0000-0002-3320-9834>),
  Josmar Mazucheli [aut] (<https://orcid.org/0000-0001-6740-0445>)
Repository: CRAN
Date/Publication: 2023-09-06 09:10:02 UTC
Built: R 4.4.3; x86_64-w64-mingw32; 2026-03-20 19:22:34 UTC; windows
Archs: x64
