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Implementation of a Bayesian approach for estimating a mixture of gamma distributions in which the mixing occurs over the shape parameter. This family provides a flexible and novel approach for modeling heavy-tailed distributions, it is computationally efficient, and it only requires to specify a prior distribution for a single parameter.

Type Size Name Uploaded Downloads Labels
conda 164.3 kB | noarch/r-gsm-1.3.2-r43h142f84f_0.tar.bz2  11 months and 25 days ago 18 main
conda 151.2 kB | noarch/r-gsm-1.3.2-r42h142f84f_0.tar.bz2  2 years and 6 months ago 51 main
conda 151.9 kB | noarch/r-gsm-1.3.2-r36h6115d3f_0.tar.bz2  4 years and 10 months ago 110 main

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