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.
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