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3 projects in result set.
0. Clustericat - This package performs clustering for categorical data-set by the conditional correlated mixture model. It contains a function clusteringcat() performing the clustering on categorical data-set and returns object of appropriate class.
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Registered: 2013-12-05 14:22 |
1. Bayesian Biclustering - This package uses a Bayesian spike-and-slab model to construct bidendrograms using log posterior as the natural distance defined by the model and calculates importance using log Bayes factor.
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Registered: 2010-04-01 17:54 |
2. depmixS4 - hidden Markov model classes - Note: we have moved development over to GitHub at https://github.com/depmix/depmixS4
depmixS4 fits hidden Markov models on multi-var time series, subject to constraints on the parameters. Responses are from glm and some additional distributions; transitions can be time-dependent.
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Registered: 2008-02-27 11:12 |
