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Hyper-g Priors for GAM selection

Hyper-g Priors for GAM selection: Project Home – R-Forge

Project description

This R-package implements objective Bayesian model selection with penalised splines, using a so-called hyper-g prior for the parameters in the generalised additive model.

Project Information

Development Status : 4 - Beta
Environment : Console (Text Based)
Intended Audience : End Users/Desktop
License : OSI Approved : GNU General Public License (GPL)
Natural Language : English
Operating System : OS Independent
Programming Language : C/C++
Programming Language : R
Topic : Bayesian Statistics : General Model Fitting

Registered: 2011-08-11 09:12
Activity Ranking: 0
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Daniel Sabanés Bové

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Vienna University of Economics and Business

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