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>.
Version: 0.0.6 Depends: R (≥ 3.5.0) Imports: Rcpp, optimx, stats, quantreg, Formula, MASS, numDeriv LinkingTo: Rcpp Suggests: testthat (≥ 3.0.0), rmarkdown, knitr, lmtest, ggplot2, covr Published: 2023-09-06 DOI: 10.32614/CRAN.package.unitquantreg Author: André F. B. Menezes [aut, cre], Josmar Mazucheli [aut] Maintainer: André F. B. Menezes <andrefelipemaringa at gmail.com> BugReports: https://github.com/AndrMenezes/unitquantreg/issues License: Apache License (≥ 2) URL: https://andrmenezes.github.io/unitquantreg/ NeedsCompilation: yes Citation: unitquantreg citation info Materials: README NEWS CRAN checks: unitquantreg results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=unitquantreg to link to this page.
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