Provides tools to work with the Flexible Dirichlet distribution. The main features are an E-M algorithm for computing the maximum likelihood estimate of the parameter vector and a function based on conditional bootstrap to estimate its asymptotic variance-covariance matrix. It contains also functions to plot graphs, to generate random observations and to handle compositional data.
|Author||Sonia Migliorati [aut], Agnese Maria Di Brisco [aut, cre], Matteo Vestrucci [aut]|
|Maintainer||Agnese Maria Di Brisco <firstname.lastname@example.org>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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