Package: gkwreg
Title: Generalized Kumaraswamy Regression Models for Bounded Data
Version: 2.1.14
Authors@R: c(person(given = "José Evandeilton",
                    family = "Lopes",
                    role = c("aut", "cre"),
                    email = "evandeilton@gmail.com",
                    comment = c(ORCID = "0009-0007-5887-4084")))
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.
License: MIT + file LICENSE
URL: https://github.com/evandeilton/gkwreg,
        https://evandeilton.github.io/gkwreg/
BugReports: https://github.com/evandeilton/gkwreg/issues
Encoding: UTF-8
RoxygenNote: 7.3.3
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)
Config/testthat/edition: 3
NeedsCompilation: yes
Depends: R (>= 3.5)
LazyData: true
VignetteBuilder: knitr
Packaged: 2026-01-08 16:28:56 UTC; jlopes
Author: José Evandeilton Lopes [aut, cre] (ORCID:
    <https://orcid.org/0009-0007-5887-4084>)
Maintainer: José Evandeilton Lopes <evandeilton@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-09 16:20:17 UTC
Built: R 4.6.0; x86_64-w64-mingw32; 2026-01-12 00:54:15 UTC; windows
Archs: x64
