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Topic :: Cluster Analysis :: Model-based Clustering [Remove This Filter]
Topic :: Multivariate Statistics :: Latent Variable Approaches [Remove This Filter]
Natural Language :: English [Remove This Filter]
Programming Language :: R [Remove This Filter]
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2 projects in result set.
0. Marginal Product Mixture Model - Implementation of the marginal product mixture model, which clusters event data arising in one, two, or three-mode networks. Can be useful for exploratory data analysis and predictions about missing or future events. | |
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Activity Percentile: 0.00 Registered: 2010-11-03 07:18 |
1. 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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Activity Percentile: 0.00 Registered: 2008-02-27 11:12 |