# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "gkwreg" in publications use:' type: software license: MIT title: 'gkwreg: Generalized Kumaraswamy Regression Models for Bounded Data' version: 2.1.16 doi: 10.32614/CRAN.package.gkwreg abstract: 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. authors: - family-names: Lopes given-names: José Evandeilton email: evandeilton@gmail.com orcid: https://orcid.org/0009-0007-5887-4084 - family-names: Bonat given-names: Wagner Hugo orcid: https://orcid.org/0000-0002-0349-7054 repository: https://evandeilton.r-universe.dev repository-code: https://github.com/evandeilton/gkwreg commit: b68e8432ac1a67c47f9246806187625da99ddbdb url: https://evandeilton.github.io/gkwreg/ date-released: '2026-03-21' contact: - family-names: Lopes given-names: José Evandeilton email: evandeilton@gmail.com orcid: https://orcid.org/0009-0007-5887-4084