Package: gkwreg Title: Generalized Kumaraswamy Regression Models for Bounded Data Version: 2.1.18 Authors@R: c(person(given = "José Evandeilton", family = "Lopes", role = c("aut", "cre"), email = "evandeilton@gmail.com", comment = c(ORCID = "0009-0007-5887-4084")), person(given = "Wagner Hugo", family = "Bonat", role = "aut", comment = c(ORCID = "0000-0002-0349-7054"))) Description: Implements regression models for bounded continuous data in the open interval (0,1) using the five-parameter Generalized 'Kumaraswamy' distribution. Supports modeling all distribution parameters (alpha, beta, gamma, delta, lambda) as functions of predictors through various link functions. Provides efficient maximum likelihood estimation via Template Model Builder ('TMB'), offering comprehensive diagnostics, model comparison tools, and simulation methods. Particularly useful for analyzing proportions, rates, indices, and other bounded response data with complex distributional features not adequately captured by simpler models. Methods are described in Lopes and Bonat (2026) . License: MIT + file LICENSE URL: https://github.com/evandeilton/gkwreg, https://evandeilton.github.io/gkwreg/ BugReports: https://github.com/evandeilton/gkwreg/issues Depends: R (>= 3.5) Imports: Formula, ggplot2, ggpubr, gkwdist, graphics, grDevices, gridExtra, magrittr, numDeriv, Rcpp, stats, TMB, utils LinkingTo: Rcpp, RcppArmadillo, RcppEigen, TMB Suggests: betareg, knitr, rmarkdown, testthat (>= 3.0.0) VignetteBuilder: knitr Config/testthat/edition: 3 Encoding: UTF-8 LazyData: true NeedsCompilation: yes Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.3 Config/pak/sysreqs: cmake make libicu-dev Repository: https://evandeilton.r-universe.dev Date/Publication: 2026-08-23 18:22:25 UTC RemoteUrl: https://github.com/evandeilton/gkwreg RemoteRef: HEAD RemoteSha: 1f0e78bbb0b12ec79b488f690d4a2614596c8614 Packaged: 2026-09-27 02:07:51 UTC; root Author: José Evandeilton Lopes [aut, cre] (ORCID: ), Wagner Hugo Bonat [aut] (ORCID: ) Maintainer: José Evandeilton Lopes