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Topic > Multivariate Statistics > Latent Variable Approaches

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11 projects in result set.

0. Structural equation modeling - Several SEM related packages are developed for conducting structural equation modeling.

Development Status : 5 - Production/Stable [Filter]
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License : OSI Approved : GNU General Public License (GPL) [Filter]
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Programming Language : R [Filter]
Topic : Multivariate Statistics : Latent Variable Approaches [Filter]
Topic : Robust Statistics [Filter]

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Registered: 2011-09-26 14:13

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]
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License : OSI Approved : GNU General Public License (GPL) [Filter]
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Programming Language : R [Filter]
Topic : Cluster Analysis : Model-based Clustering [Filter]
Topic : Multivariate Statistics : Latent Variable Approaches [Filter]
Topic : Time Series [Filter]

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Registered: 2008-02-27 11:12

2. Educational Assessment Tools - The package eat is designed to simplify data preparation and IRT modeling with the software ConQuest within the R programming environment. It includes routines for automation of data preprocessing and an interface to specify and run several IRT models.

Development Status : 4 - Beta [Filter]
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License : OSI Approved : GNU General Public License (GPL) [Filter]
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Programming Language : R [Filter]
Topic : Multivariate Statistics : Latent Variable Approaches [Filter]

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Registered: 2012-01-18 16:07

3. Dependency modeling toolbox - Model-based tools for the discovery and analysis of statistical dependencies between data sources.

Development Status : 5 - Production/Stable [Filter]
Environment : Console (Text Based) [Filter]
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License : OSI Approved : BSD License [Filter]
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Programming Language : R [Filter]
Topic : Machine Learning : Bayesian Methods [Filter]
Topic : Multivariate Statistics : Latent Variable Approaches [Filter]
Topic : Robust Statistics [Filter]

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Registered: 2010-04-08 11:22

4. 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 (Now Filtering) Programming Language : R [Filter] Topic : Bayesian Statistics [Filter] Topic : Cluster Analysis : Model-based Clustering [Filter] Topic : Multivariate Statistics : Latent Variable Approaches [Filter]	Activity Percentile: 0.00 Registered: 2010-11-03 07:18

5. 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 : R [Filter]
Topic : Multivariate Statistics : Latent Variable Approaches [Filter]
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Topic : Spatial Data & Statistics [Filter]

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Registered: 2008-10-04 11:03

6. Meta-Analysis of Individual Differences - Functions for meta-analysis of individual differences. Intended for tests with dichotomous items and a Beta-binomial total score distribution. Beta-binomial parameters are estimated using moment estimation and integrated with bivariate meta-analysis.
License : OSI Approved : GNU General Public License (GPL) [Filter] Natural Language : English (Now Filtering) Operating System : Microsoft : Windows [Filter] Operating System : POSIX : Linux [Filter] Programming Language : R [Filter] Topic : Education [Filter] Topic : Multivariate Statistics : Latent Variable Approaches [Filter]	Activity Percentile: 0.00 Registered: 2022-05-23 09:07

7. Model-Based Network Analysis - Model-based solutions for network analysis. In particular, probabilistic tools for investigating context-specific activation patterns and network topology.

Development Status : 1 - Planning [Filter]
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Programming Language : R [Filter]
Topic : Bioinformatics [Filter]
Topic : Machine Learning [Filter]
Topic : Multivariate Statistics : Latent Variable Approaches [Filter]

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Registered: 2010-06-14 20:56

8. ctsem: Continuous time SEM - ctsem allows continuous time structural equation modelling of panel and time series data. ctsem uses stochastic differential equations to estimate continuous dynamic processes from indicators and covariates with any timing of measurement occasions.

Development Status : 5 - Production/Stable [Filter]
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License : OSI Approved : GNU General Public License (GPL) [Filter]
Natural Language : English (Now Filtering)
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Programming Language : R [Filter]
Topic : Multivariate Statistics : Latent Variable Approaches [Filter]
Topic : Numerical Analysis : Prob\. Methods, Simulation and Stochastic Differential Equations [Filter]
Topic : Time Series [Filter]

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Registered: 2015-04-01 20:28

9. mixOmics - mixOmics is an R package that supplies different methodologies to unravel relationships between two heterogeneous data sets of size n × p and n × q where the p and q variables are measured on the same samples or individuals n.

Development Status : 5 - Production/Stable [Filter]
Environment : Console (Text Based) [Filter]
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License : OSI Approved : GNU General Public License (GPL) [Filter]
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Natural Language : French [Filter]
Operating System : Microsoft [Filter]
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Programming Language : R [Filter]
Topic : Bioinformatics : Statistics [Filter]
Topic : Multivariate Statistics : Latent Variable Approaches [Filter]
Topic : Multivariate Statistics : Projection Methods : Canonical Correlation [Filter]

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Registered: 2010-06-25 04:17

10. lava [MOVED TO GITHUB] - MOVED TO GITHUB

Development Status : 4 - Beta [Filter]
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License : OSI Approved : GNU General Public License (GPL) [Filter]
Natural Language : English (Now Filtering)
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Programming Language : R [Filter]
Topic : Multivariate Statistics : Latent Variable Approaches [Filter]
Topic : Multivariate Statistics : Linear Models [Filter]

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Registered: 2009-09-08 13:22