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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: | 1.0.10 |
| Imports: | Rcpp, RcppArmadillo, magrittr, numDeriv |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2025-11-13 |
| DOI: | 10.32614/CRAN.package.gkwdist (may not be active yet) |
| Author: | José Evandeilton Lopes
|
| Maintainer: | José Evandeilton Lopes <evandeilton at gmail.com> |
| BugReports: | https://github.com/evandeilton/gkwdist/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/evandeilton/gkwdist, https://evandeilton.github.io/gkwdist/ |
| NeedsCompilation: | yes |
| Language: | en-US |
| Citation: | gkwdist citation info |
| Materials: | README, NEWS |
| CRAN checks: | gkwdist results |
| Reference manual: | gkwdist.html , gkwdist.pdf |
| Vignettes: |
Introduction to gkwdist (source, R code) |
| Package source: | gkwdist_1.0.10.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): gkwdist_1.0.10.tgz, r-oldrel (arm64): gkwdist_1.0.10.tgz, r-release (x86_64): gkwdist_1.0.10.tgz, r-oldrel (x86_64): gkwdist_1.0.10.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.