Generalized Kumaraswamy Regression Models for Bounded Data R package gkwreg version 2.1.14 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. Software Depends: R (>= 3.5) Imports: Formula, stats, graphics, TMB, Rcpp, magrittr, ggplot2, ggpubr, gridExtra, numDeriv, gkwdist LinkingTo: TMB, Rcpp, RcppArmadillo, RcppEigen Suggests: betareg, knitr, rmarkdown, testthat (>= 3.0.0) José Evandeilton Lopes <evandeilton@gmail.com> Comprehensive R Archive Network (CRAN) José Evandeilton Lopes [aut, cre] (ORCID: <https://orcid.org/0009-0007-5887-4084>) MIT + file LICENSE (https://CRAN.R-project.org/package=gkwreg/LICENSE) 2026-01-09 application/tgz https://CRAN.R-project.org/package=gkwreg doi:10.32614/CRAN.package.gkwreg