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 Topic > Bayesian Statistics
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6 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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- Topic : Spatial Data & Statistics : Ecological Analysis [Filter]
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Registered: 2009-08-17 16:25 |
1. Genome-wide analysis using MOSS - Performs genome-wide analysis of dense SNP array data using the mode oriented stochastic search (MOSS) algorithm in a case-control design. Includes preprocessing of the data from Plink format to the format required by the MOSS algorithm.
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Registered: 2011-01-07 17:53 |
2. 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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- Topic : Bioinformatics : Statistics [Filter]
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Registered: 2011-10-11 08:51 |
3. arm - R functions for processing lm, glm, mer and polr outputs.
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Registered: 2008-04-09 23:40 |
4. Bayesian Estimation and Model Checking - This package mainly deals with generalized linear spatial models in Bayesian way for estimation, prediction and model checking.
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- Topic : Bayesian Statistics [Filter]
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Registered: 2011-08-18 03:20 |
5. Generalized iLUCK-models - Interval/imprecise probability models allowing non-stochastic uncertainty in Bayesian analysis by defining sets of conjugate priors such that the set of posteriors, obtained by updating each prior in the set by Bayes' rule, is still easy to handle.
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Registered: 2010-03-06 00:28 |
