gkwreg: An R Package for Generalized Kumaraswamy Regression Models for Bounded Data

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Authors: José Evandeilton Lopes, Wagner Hugo Bonat
Cited by: 0
References: 4

Abstract

gkwreg is an R package for fitting regression models to data restricted to the unit interval (0, 1), such as proportions, rates, and indices.The package implements the flexible five-parameter Generalized Kumaraswamy (GKw) distribution and its seven main subfamilies, including the widely used Beta and Kumaraswamy distributions.A key feature of gkwreg is its use of the Template Model Builder (TMB) framework, which leverages automatic differentiation and C++ templates to provide fast, stable, and accurate maximum likelihood estimation.This overcomes the significant computational challenges typically associated with such complex multiparametric models, making them accessible for practical application.The package provides a user-friendly interface with standard R methods for model specification, inference, and diagnostics.

Fields of Study & Subjects

Statistical Distribution Estimation and Applications Data Analysis with R Statistical Methods and Bayesian Inference

Publication details

Journal / source
The Journal of Open Source Software
Volume
11
Issue
117
Pages
8991–8991
Publication date
19 January 2026