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6 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]
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Registered: 2009-09-22 05:35 |
1. logitnorm - Density, distribution, quantile and random generation function for the logitnormal distribution. Estimation of the mode and the first two moments. Estimation of distribution parameters. - Moved to https://github.com/bgctw/logitnorm |
- Development Status : 5 - Production/Stable [Filter]
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Registered: 2010-09-15 16:07 |
2. Quantitative Fitness Analysis - QFA is an experimental and computational methodology for estimation of the fitnesses of arrayed microbial cultures growing on solid agar. Methods for estimating fitnesses, fitness variability and genetic interaction strengths are included. |
- Development Status : 3 - Alpha [Filter]
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- Topic : Bioinformatics : Statistics [Filter]
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Registered: 2010-09-06 17:05 |
3. 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]
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Registered: 2011-08-11 09:12 |
4. 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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Registered: 2009-04-24 15:56 |
5. BayesR: Bayesian Regression - Developement of R Functions to Estimate Complex Bayesian Regression Models. |
- Development Status : 3 - Alpha [Filter]
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Registered: 2010-08-20 11:45 |