pacbpred (0.92.2)

0 users

PAC-Bayesian Estimation and Prediction in Sparse Additive Models..

http://www.lsta.upmc.fr/doct/guedj/index.html
http://cran.r-project.org/web/packages/pacbpred

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.

Maintainer: Benjamin Guedj
Author(s): Benjamin Guedj

License: GPL (>= 2)

Uses: Does not use any package

Released over 4 years ago.


3 previous versions

Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of pacbpred yet. Want to be the first? Write one now.


Related packages: BACCO, BMA, BayHaz, BayesTree, BayesValidate, Bolstad, DPpackage, EbayesThresh, HI, Hmisc, LearnBayes, MCMCpack, MNP, MSBVAR, MasterBayes, R2WinBUGS, RJaCGH, Runuran, arm, bayesSurv(20 best matches, based on common tags.)


Search for pacbpred on google, google scholar, r-help, r-devel.

Visit pacbpred on R Graphical Manual.