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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.
Development Status : 3 - Alpha [Filter] License : OSI Approved : GNU General Public License (GPL) (Now Filtering) Natural Language : English (Now Filtering) Programming Language : R [Filter] Topic : Bayesian Statistics [Filter] Topic : Cluster Analysis : Model-based Clustering (Now Filtering) Topic : Multivariate Statistics : Latent Variable Approaches (Now Filtering)	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.

Development Status : 4 - Beta [Filter]
Intended Audience : Developers [Filter]
Intended Audience : End Users/Desktop [Filter]
License : OSI Approved : GNU General Public License (GPL) (Now Filtering)
Natural Language : English (Now Filtering)
Operating System : OS Independent [Filter]
Programming Language : R [Filter]
Topic : Cluster Analysis : Model-based Clustering (Now Filtering)
Topic : Multivariate Statistics : Latent Variable Approaches (Now Filtering)
Topic : Time Series [Filter]

Activity Percentile: 0.00

Registered: 2008-02-27 11:12