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gkwdist: Generalized Kumaraswamy Distribution Family

Implements the five-parameter Generalized Kumaraswamy ('gkw') distribution proposed by 'Carrasco, Ferrari and Cordeiro (2010)' <doi:10.48550/arXiv.1004.0911> 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) <doi:10.1016/j.stamet.2008.04.001>. 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.

Version:	1.1.1
Imports:	Rcpp,RcppArmadillo,magrittr,numDeriv
LinkingTo:	Rcpp,RcppArmadillo
Suggests:	knitr,rmarkdown,testthat (≥ 3.0.0)
Published:	2025-11-27
DOI:	10.32614/CRAN.package.gkwdist
Author:	José Evandeilton Lopes [aut, cre]
Maintainer:	José Evandeilton Lopes <evandeilton at gmail.com>
BugReports:	https://github.com/evandeilton/gkwdist/issues
License:	MIT + fileLICENSE
URL:	https://github.com/evandeilton/gkwdist,https://evandeilton.github.io/gkwdist/
NeedsCompilation:	yes
Language:	en-US
Citation:	gkwdist citation info
Materials:	README,NEWS
In views:	Distributions
CRAN checks:	gkwdist results

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