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4 projects in result set.
0. Hierarchical Generalized Linear Models - The aim of the project is to develop a series of packages, including the hglm package, which implement the estimation algorithm of different random effects models based on the hierarchical likelihood theory.
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- Development Status : 4 - Beta [Filter]
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- Topic : Genetics : QTL Mapping [Filter]
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- Topic : Multivariate Statistics : Modelling Non-Gaussian Data [Filter]
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Registered: 2009-10-02 07:07 |
1. yags: modular GEE solver - yags is a modular solver for generalized estimating equations.
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- Development Status : 3 - Alpha [Filter]
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- Topic : Biostatistics & Medical Statistics [Filter]
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- Topic : Robust Statistics [Filter]
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Registered: 2009-01-04 12:17 |
2. mboost - Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data.
For an up to date version see https://github.com/boost-R/mboost
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- Development Status : 5 - Production/Stable [Filter]
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- License : OSI Approved : GNU General Public License (GPL) [Filter]
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- Topic : Machine Learning : Boosting [Filter]
- Topic : Machine Learning : Regularized and Shrinkage Methods [Filter]
- Topic : Multivariate Statistics : Linear Models (Now Filtering)
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Registered: 2007-07-07 15:13 |
3. lsmeans - Calculate adjusted means and standard errors for main factors and interaction terms of lm, gls, lme and lme4 models.
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- Development Status : 5 - Production/Stable [Filter]
- Environment : Console (Text Based) [Filter]
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- Topic : Design of Experiments & Analysis of Experimental Data [Filter]
- Topic : Genetics : Multiple Testing [Filter]
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Registered: 2009-09-10 11:49 |
