gkwreg: Generalized Kumaraswamy Regression Models for Bounded Data
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) <doi:10.21105/joss.08991>.
| Version: |
2.1.18 |
| 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) |
| Published: |
2026-08-24 |
| DOI: |
10.32614/CRAN.package.gkwreg |
| Author: |
José Evandeilton Lopes
 [aut, cre],
Wagner Hugo Bonat
[aut] |
| Maintainer: |
José Evandeilton Lopes <evandeilton at gmail.com> |
| BugReports: |
https://github.com/evandeilton/gkwreg/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/evandeilton/gkwreg,
https://evandeilton.github.io/gkwreg/ |
| NeedsCompilation: |
yes |
| Citation: |
gkwreg citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
gkwreg results |
Documentation:
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