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3 projects in result set.
0. pfda: Functional Principal Components - The PFDA package for R performs functional principal component analysis with B-splines for univariate and bivariate responses. Also handled are binary responses and an additive model for extra variables.
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- Development Status : 3 - Alpha [Filter]
- Development Status : 4 - Beta [Filter]
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- Topic : Time Series [Filter]
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Registered: 2010-01-12 21:52 |
1. Gauss-Seidel Estimation of GLMM - This project implements a block-wise Gauss-Seidel (GS) algorithm to fit Generalized Linear Mixed Models (GLMMs). The GS algorithm allows for a significant performance increase and memory saving.
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- Development Status : 3 - Alpha [Filter]
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Registered: 2011-05-11 13:44 |
2. BayesR: Bayesian Regression - Developement of R Functions to Estimate Complex Bayesian Regression Models.
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- Development Status : 3 - Alpha [Filter]
- Environment : Console (Text Based) [Filter]
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- Topic : Bayesian Statistics : General Model Fitting [Filter]
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- Topic : Spatial Data & Statistics [Filter]
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Registered: 2010-08-20 11:45 |
