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5 projects in result set.
0. 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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- License : OSI Approved : GNU General Public License (GPL) (Now Filtering)
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- Programming Language : R [Filter]
- Topic : Bayesian Statistics : General Model Fitting [Filter]
- Topic : Bioinformatics : Mathematics [Filter]
- Topic : Bioinformatics : Statistics [Filter]
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Registered: 2010-09-06 17:05 |
1. 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]
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- Topic : Bayesian Statistics : General Model Fitting [Filter]
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Registered: 2009-04-24 15:56 |
2. BayesR: Bayesian Regression - Developement of R Functions to Estimate Complex Bayesian Regression Models. |
- Development Status : 3 - Alpha [Filter]
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- Topic : Bayesian Statistics : General Model Fitting [Filter]
- Topic : Regression Models [Filter]
- Topic : Spatial Data & Statistics [Filter]
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Registered: 2010-08-20 11:45 |
3. 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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- Topic : Bayesian Statistics : General Model Fitting [Filter]
- Topic : Other/Nonlisted Topic [Filter]
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Registered: 2010-09-15 16:07 |
4. 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]
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Registered: 2011-08-11 09:12 |