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Topic > Multivariate Statistics |
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6 projects in result set.
0. umx: A helper library for SEM in OpenMx - umx provides functions making it easy to build, run, modify, and report the results of Structural Equation Models (SEM) using OpenMx. Examples include setting start values: umxStart(); labels: umxLabel(); and reporting; umxSummary(). |
- Development Status : 4 - Beta [Filter]
- Environment : Console (Text Based) [Filter]
- Intended Audience : End Users/Desktop [Filter]
- License : OSI Approved : Artistic License [Filter]
- Natural Language : English [Filter]
- Operating System : MacOS [Filter]
- Operating System : Microsoft : Windows (Now Filtering)
- Operating System : POSIX : BSD [Filter]
- Programming Language : R (Now Filtering)
- Topic : Genetics [Filter]
- Topic : Multivariate Statistics [Filter]
- Topic : Optimization : General Purpose Continuous Solvers [Filter]
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Registered: 2013-08-28 13:52 |
1. Visual Inference Software Development - Convenient and readily available software is lacking for visualizing the process of statistical inference for various applications in statistical practice. The "logic" of inference, should be clearly depicted, if possible. |
- Development Status : 1 - Planning [Filter]
- License : Public Domain [Filter]
- Natural Language : English [Filter]
- Operating System : Microsoft : Windows (Now Filtering)
- Programming Language : R (Now Filtering)
- Topic : Bayesian Statistics : Post Estimation Tools [Filter]
- Topic : Graphics : Plotting [Filter]
- Topic : Multivariate Statistics [Filter]
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Registered: 2012-04-11 12:56 |
2. Bayesian Estimation and Model Checking - This package mainly deals with generalized linear spatial models in Bayesian way for estimation, prediction and model checking. |
- Development Status : 4 - Beta [Filter]
- Environment : Console (Text Based) [Filter]
- Environment : X11 Applications : Gnome [Filter]
- 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 (Now Filtering)
- Operating System : POSIX : Linux [Filter]
- Programming Language : C/C\+\+ [Filter]
- Programming Language : R (Now Filtering)
- Topic : Bayesian Statistics [Filter]
- Topic : Multivariate Statistics [Filter]
- Topic : Spatial Data & Statistics : Geostatistics [Filter]
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Registered: 2011-08-18 03:20 |
3. Extremal processes - Modelling and Analysis of Extremal Processes |
- Development Status : 3 - Alpha [Filter]
- Intended Audience : End Users/Desktop [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
- Operating System : MacOS [Filter]
- Operating System : Microsoft : Windows (Now Filtering)
- Operating System : POSIX : Linux [Filter]
- Programming Language : C/C\+\+ [Filter]
- Programming Language : R (Now Filtering)
- Topic : Environmetrics [Filter]
- Topic : Multivariate Statistics [Filter]
- Topic : Spatial Data & Statistics [Filter]
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Registered: 2010-01-28 09:50 |
4. Conditional multivariate extremes - Generalized Pareto distribution modelling, including penalized likelihood and Bayesian methods, and conditional multivariate extreme value modelling.
PROJECT MIGRATED TO Google Code: https://code.google.com/p/texmex/ |
- Development Status : 5 - Production/Stable [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 : Microsoft : Windows (Now Filtering)
- Operating System : POSIX : Linux [Filter]
- Programming Language : R (Now Filtering)
- Topic : Bayesian Statistics : Specific Model Fitting [Filter]
- Topic : Multivariate Statistics [Filter]
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Registered: 2010-09-17 12:42 |
5. Quasi-likelihood parameter estimation - The package provides methods for parameter estimation for statistical models that can be simulated. We follow a quasi-likelihood approach to estimate the unknown parameter by the root of the so-called quasi-score estimating function. |
- Development Status : 4 - Beta [Filter]
- Intended Audience : End Users/Desktop [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : German [Filter]
- Operating System : Microsoft : Windows (Now Filtering)
- Operating System : POSIX : Linux [Filter]
- Programming Language : C/C\+\+ [Filter]
- Programming Language : R (Now Filtering)
- Topic : Bioinformatics : Statistics [Filter]
- Topic : Multivariate Statistics [Filter]
- Topic : Spatial Data & Statistics [Filter]
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Registered: 2017-08-30 21:22 |