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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.
| Version: | 1.3.2 |
| Depends: | gtools, methods, utils |
| Imports: | graphics, grDevices, stats |
| Published: | 2015-07-08 |
| DOI: | 10.32614/CRAN.package.GSM |
| Author: | Sergio Venturini |
| Maintainer: | Sergio Venturini <sergio.venturini at unibocconi.it> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | http://projecteuclid.org/euclid.aoas/1215118537 |
| NeedsCompilation: | no |
| In views: | Cluster, Distributions |
| CRAN checks: | GSM results |
| Reference manual: | GSM.pdf |
| Package source: | GSM_1.3.2.tar.gz |
| Windows binaries: | r-devel: GSM_1.3.2.zip, r-release: GSM_1.3.2.zip, r-oldrel: GSM_1.3.2.zip |
| macOS binaries: | r-release (arm64): GSM_1.3.2.tgz, r-oldrel (arm64): GSM_1.3.2.tgz, r-release (x86_64): GSM_1.3.2.tgz, r-oldrel (x86_64): GSM_1.3.2.tgz |
| Old sources: | GSM archive |
| Reverse suggests: | fitteR |
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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.