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5 projects in result set.
0. dcr - Data Cloning in R - Data cloning (DC) uses Bayesian MCMC to make maximum likelihood inference of complex hierarchical models. The bundle includes basic infrastructure for DC with parallel computing support, and more specialized packages for ecology.
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- Development Status : 5 - Production/Stable [Filter]
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- Topic : Spatial Data & Statistics : Ecological Analysis [Filter]
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Registered: 2009-08-17 16:25 |
1. StatEdu - Packages for teaching statistics, including introductory statistics (probability, sampling, sampling distributions, basic inference, etc) and Likelihood/Bayesian statistics.
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Registered: 2013-03-01 09:32 |
2. Bayes factors - R functions for the computation of Bayes factors in common psychological experimental designs
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- Development Status : 4 - Beta [Filter]
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Registered: 2009-09-29 14:02 |
3. Moment and Inverse Moment Bayes factors - Performs model selection based on non-local priors, including MOM, eMOM and iMOM priors. Routines are provided to compute Bayes factors, marginal densities and to perform variable selection in regression setups.
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- Development Status : 6 - Mature [Filter]
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Registered: 2011-09-26 21:39 |
4. casper - casper infers alternative splicing from high-throughput sequencing data both for known variants and de novo discovery. We use a Bayesian model with few assumptions, and modern model selection ideas with improved theoretical and computational properties.
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- Development Status : 4 - Beta [Filter]
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Registered: 2011-10-11 08:51 |
