The package builds a dendrogram for subjects and variables with log posterior of a simple linear model. After data are grouped the Bayes Factor of a mixture versus a single component is given as an importance measure. Model hyperparameters are needed to be given or estimated from data to apply the algorithm.
|Author||Vahid PARTOVI NIA|
|Date of publication||2014-11-24 23:57:13|
|Maintainer||Vahid PARTOVI NIA <firstname.lastname@example.org>|
|License||GPL (>= 2)|
|Package repository||View on R-Forge|
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