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GSM

Gamma Shape Mixture

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.

Versions across snapshots

VersionRepositoryFileSize
1.3.2 rolling source/ R- GSM_1.3.2.tar.gz 7.5 KiB
1.3.2 latest source/ R- GSM_1.3.2.tar.gz 7.5 KiB
1.3.2 2026-04-23 source/ R- GSM_1.3.2.tar.gz 7.5 KiB
1.3.2 2026-04-09 windows/windows R-4.5 GSM_1.3.2.zip 142.5 KiB

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