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pacbpred: PAC-Bayesian Estimation and Prediction in Sparse Additive Models.
This package is intended to perform estimation and prediction in high-dimensional additive models, using a sparse PAC-Bayesian point of view and a MCMC algorithm. The method is fully described in Guedj and Alquier (2013), 'PAC-Bayesian Estimation and Prediction in Sparse Additive Models', Electronic Journal of Statistics, 7, 264--291.
Getting started
Browse package contents
Package details |
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| Author | Benjamin Guedj |
| Maintainer | Benjamin Guedj <benjamin.guedj@upmc.fr> |
| License | GPL (>= 2) |
| Version | 0.92.2 |
| URL | http://www.lsta.upmc.fr/doct/guedj/index.html |
| Package repository | View on CRAN |
| Installation |
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