Software Map
Project Tree
Now limiting view to projects in the following categories:
Topic :: Multivariate Statistics :: Latent Variable Approaches [Remove This Filter]
Development Status :: 5 - Production/Stable [Remove This Filter]
5 projects in result set.
0. 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. |
- Development Status : 5 - Production/Stable (Now Filtering)
- Intended Audience : Developers [Filter]
- Intended Audience : End Users/Desktop [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
- Natural Language : French [Filter]
- Operating System : MacOS [Filter]
- Operating System : Microsoft [Filter]
- Operating System : POSIX : Linux [Filter]
- Programming Language : C/C\+\+ [Filter]
- Programming Language : Fortran [Filter]
- Programming Language : R [Filter]
- Topic : Multivariate Statistics : Latent Variable Approaches (Now Filtering)
- Topic : Other/Nonlisted Topic [Filter]
- Topic : Spatial Data & Statistics [Filter]
|
Activity Percentile: 0.00
Registered: 2008-10-04 11:03 |
1. Dependency modeling toolbox - Model-based tools for the discovery and analysis of statistical dependencies between data sources. |
- Development Status : 5 - Production/Stable (Now Filtering)
- Environment : Console (Text Based) [Filter]
- Environment : Other Environment [Filter]
- Intended Audience : Developers [Filter]
- Intended Audience : End Users/Desktop [Filter]
- Intended Audience : Other Audience [Filter]
- License : OSI Approved : BSD License [Filter]
- Natural Language : English [Filter]
- Operating System : OS Independent [Filter]
- Programming Language : R [Filter]
- Topic : Machine Learning : Bayesian Methods [Filter]
- Topic : Multivariate Statistics : Latent Variable Approaches (Now Filtering)
- Topic : Robust Statistics [Filter]
|
Activity Percentile: 0.00
Registered: 2010-04-08 11:22 |
2. 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 (Now Filtering)
- Environment : Console (Text Based) [Filter]
- Intended Audience : Developers [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
- Natural Language : French [Filter]
- Operating System : Microsoft [Filter]
- Operating System : POSIX : Linux [Filter]
- Programming Language : R [Filter]
- Topic : Bioinformatics : Statistics [Filter]
- Topic : Multivariate Statistics : Latent Variable Approaches (Now Filtering)
- Topic : Multivariate Statistics : Projection Methods : Canonical Correlation [Filter]
|
Activity Percentile: 0.00
Registered: 2010-06-25 04:17 |
3. 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 (Now Filtering)
- 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 [Filter]
- Topic : Multivariate Statistics : Latent Variable Approaches (Now Filtering)
- Topic : Numerical Analysis : Prob\. Methods, Simulation and Stochastic Differential Equations [Filter]
- Topic : Time Series [Filter]
|
Activity Percentile: 0.00
Registered: 2015-04-01 20:28 |
4. Structural equation modeling - Several SEM related packages are developed for conducting structural equation modeling. |
- Development Status : 5 - Production/Stable (Now Filtering)
- Intended Audience : Developers [Filter]
- Intended Audience : End Users/Desktop [Filter]
- Intended Audience : Other Audience [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
- Operating System : MacOS [Filter]
- Operating System : Microsoft : Windows [Filter]
- Operating System : POSIX : Linux [Filter]
- Programming Language : R [Filter]
- Topic : Multivariate Statistics : Latent Variable Approaches (Now Filtering)
- Topic : Robust Statistics [Filter]
|
Activity Percentile: 0.00
Registered: 2011-09-26 14:13 |