# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "gkwdist" in publications use:' type: software license: MIT title: 'gkwdist: Generalized Kumaraswamy Distribution Family' version: 1.1.4 identifiers: - type: doi value: 10.32614/CRAN.package.gkwdist abstract: Implements the five-parameter Generalized Kumaraswamy ('gkw') distribution proposed by 'Carrasco, Ferrari and Cordeiro (2010)' and its seven nested sub-families for modeling bounded continuous data on the unit interval (0,1). The 'gkw' distribution extends the Kumaraswamy distribution described by Jones (2009) . Provides density, distribution, quantile, and random generation functions, along with analytical log-likelihood, gradient, and Hessian functions implemented in 'C++' via 'RcppArmadillo' for maximum computational efficiency. Suitable for modeling proportions, rates, percentages, and indices exhibiting complex features such as asymmetry, or heavy tails and other shapes not adequately captured by standard distributions like simple Beta or Kumaraswamy. authors: - family-names: Lopes given-names: José Evandeilton email: evandeilton@gmail.com orcid: https://orcid.org/0009-0007-5887-4084 preferred-citation: type: manual title: 'gkwdist: Generalized Kumaraswamy Distribution Family' authors: - family-names: Lopes given-names: José Evandeilton email: evandeilton@gmail.com orcid: https://orcid.org/0009-0007-5887-4084 year: '2025' notes: R package version 1.0.8 url: https://github.com/evandeilton/gkwdist repository: https://evandeilton.r-universe.dev repository-code: https://github.com/evandeilton/gkwdist commit: 84a40a73a9e84d9f0ef3886b84f4c0652d82db20 url: https://evandeilton.github.io/gkwdist/ date-released: '2026-05-27' contact: - family-names: Lopes given-names: José Evandeilton email: evandeilton@gmail.com orcid: https://orcid.org/0009-0007-5887-4084