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3 projects in result set.
0. Low Rank Gaussian Process Regression - Fit a Low Rank Gaussian Process Regression / Linear Mixed Model for large datasets. These models are widely used in statistical genetics as a test of association while correcting for the confounding effects of kinship and population structure.
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- Environment : Console (Text Based) [Filter]
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Registered: 2013-12-19 15:12 |
1. Bayesian Biclustering - This package uses a Bayesian spike-and-slab model to construct bidendrograms using log posterior as the natural distance defined by the model and calculates importance using log Bayes factor.
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- Development Status : 4 - Beta [Filter]
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Registered: 2010-04-01 17:54 |
2. bclust - Bayesian clustering with variable selection is a fully automatic clustering method, designed for low-sample-size-high-dimensional situations. This might be regarded as a high-dimensional variant of the mclust package.
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- Development Status : 5 - Production/Stable [Filter]
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Registered: 2009-02-18 10:01 |
