Software Map
Project Tree
Now limiting view to projects in the following categories:
Topic :: Cluster Analysis :: Model-based Clustering [Remove This Filter]
Topic :: Multivariate Statistics :: Latent Variable Approaches [Remove This Filter]
Programming Language :: R [Remove This Filter]
3 projects in result set.
0. 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) [Filter]
- Natural Language : English [Filter]
- Operating System : OS Independent [Filter]
- Programming Language : R (Now Filtering)
- 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 |
1. 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.
|
- Development Status : 4 - Beta [Filter]
- Intended Audience : Developers [Filter]
- Intended Audience : End Users/Desktop [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : French [Filter]
- Operating System : POSIX : Linux [Filter]
- Programming Language : C/C\+\+ [Filter]
- Programming Language : R (Now Filtering)
- Topic : Cluster Analysis : Model-based Clustering (Now Filtering)
- Topic : Multivariate Statistics : Latent Variable Approaches (Now Filtering)
- Topic : Multivariate Statistics : Unsupervised Classification : Cluster Analysis [Filter]
|
Activity Percentile: 0.00
Registered: 2013-12-05 14:22 |
2. 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) [Filter]
- Natural Language : English [Filter]
- Programming Language : R (Now Filtering)
- 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 |
