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Topic :: Bayesian Statistics :: General Model Fitting [Remove This Filter]
4 projects in result set.
0. DREAM: global adaptive MCMC - DiffeRential Evolution Adaptive Metropolis (DREAM). Efficient global MCMC even in high-dimensional spaces. Developed by J.A. Vrugt, C.J.F. ter Braak et al. |
- Development Status : 4 - Beta [Filter]
- Environment : Console (Text Based) [Filter]
- Intended Audience : End Users/Desktop [Filter]
- License : OSI Approved [Filter]
- Operating System : OS Independent [Filter]
- Programming Language : R [Filter]
- Topic : Bayesian Statistics : General Model Fitting (Now Filtering)
- Topic : Machine Learning : Bayesian Methods [Filter]
- Topic : Optimization : General Purpose Continuous Solvers [Filter]
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Registered: 2009-09-22 05:35 |
1. Hyper-g Priors for GAM selection - This R-package implements objective Bayesian model selection with penalised splines, using a so-called hyper-g prior for the parameters in the generalised additive model. |
- Development Status : 4 - Beta [Filter]
- Environment : Console (Text Based) [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 : C/C\+\+ [Filter]
- Programming Language : R [Filter]
- Topic : Bayesian Statistics : General Model Fitting (Now Filtering)
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Registered: 2011-08-11 09:12 |
2. R2jags - A package for running jags from R |
- Development Status : 4 - Beta [Filter]
- Development Status : 5 - Production/Stable [Filter]
- Environment : Win32 (MS Windows) [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 : Microsoft : Windows [Filter]
- Programming Language : C/C\+\+ [Filter]
- Programming Language : R [Filter]
- Topic : Bayesian Statistics : General Model Fitting (Now Filtering)
- Topic : Bayesian Statistics : Post Estimation Tools [Filter]
- Topic : Bayesian Statistics : R Interfaces [Filter]
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Registered: 2008-05-10 19:19 |
3. Profile Dirichlet Process Mixtures - This package facilitates profile inference for a class of product partition models (PPM). The Dirichlet process mixture is a specific case in this class. These methods search for the maximum posterior (MAP) estimate for the cluster partition in the PPM.
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- Development Status : 4 - Beta [Filter]
- Environment : Console (Text Based) [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 : C/C\+\+ [Filter]
- Programming Language : R [Filter]
- Topic : Bayesian Statistics : General Model Fitting (Now Filtering)
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Registered: 2009-04-24 15:56 |