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.
| Version: |
2.1.14 |
| 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) |
| Published: |
2026-01-09 |
| DOI: |
10.32614/CRAN.package.gkwreg |
| Author: |
José Evandeilton Lopes
 [aut, cre] |
| 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 |
| Materials: |
README, NEWS |
| CRAN checks: |
gkwreg results |
Documentation:
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