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6 projects in result set.
0. Structural equation modeling - Several SEM related packages are developed for conducting structural equation modeling.
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Registered: 2011-09-26 14:13 |
1. Dependency modeling toolbox - Model-based tools for the discovery and analysis of statistical dependencies between data sources.
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- License : OSI Approved : BSD License [Filter]
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- Programming Language : R [Filter]
- Topic : Machine Learning : Bayesian Methods [Filter]
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Registered: 2010-04-08 11:22 |
2. Model-Based Network Analysis - Model-based solutions for network analysis. In particular, probabilistic tools for investigating context-specific activation patterns and network topology.
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- Development Status : 1 - Planning [Filter]
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- Topic : Bioinformatics [Filter]
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Registered: 2010-06-14 20:56 |
3. 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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- Development Status : 4 - Beta [Filter]
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- Natural Language : French [Filter]
- Operating System : POSIX : Linux [Filter]
- Programming Language : C/C\+\+ [Filter]
- Programming Language : R [Filter]
- Topic : Cluster Analysis : Model-based Clustering [Filter]
- Topic : Multivariate Statistics : Latent Variable Approaches (Now Filtering)
- Topic : Multivariate Statistics : Unsupervised Classification : Cluster Analysis [Filter]
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Registered: 2013-12-05 14:22 |
4. SpatialExtremes - The SpatialExtremes package aims to develop tools for the modeling of spatial extremes. The knowledge of the univariate/multivariate distribution of extremes is not enough. This package will try to fill this gap.
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- Programming Language : Fortran [Filter]
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- Topic : Spatial Data & Statistics [Filter]
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Registered: 2008-10-04 11:03 |
5. 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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- Development Status : 4 - Beta [Filter]
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- Programming Language : R [Filter]
- Topic : Cluster Analysis : Model-based Clustering [Filter]
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- Topic : Time Series [Filter]
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Registered: 2008-02-27 11:12 |
