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>.

Package details

AuthorJosé Evandeilton Lopes [aut, cre] (ORCID: <https://orcid.org/0009-0007-5887-4084>), Wagner Hugo Bonat [aut] (ORCID: <https://orcid.org/0000-0002-0349-7054>)
MaintainerJosé Evandeilton Lopes <evandeilton@gmail.com>
LicenseMIT + file LICENSE
Version2.1.18
URL https://github.com/evandeilton/gkwreg https://evandeilton.github.io/gkwreg/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("gkwreg")

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gkwreg documentation built on Aug. 24, 2026, 9:10 a.m.