Mposterior package provides a general framework for estimating a median of subset posterior measures (M-posterior). Each subset posterior measure is represented as a matrix of posterior samples; rows represent the atoms and columns index the dimensions. All subset measures are represented as list of matrices; length of the list equals the number of subsets (or machines). The distance between subset posterior measures and M-posterior is measured using the RBF kernel. M-posterior is represented as a weighted combination of empirical measures based on subsets measures. These weights are estimated using Weiszfeld algorithm implemented in this package.

Author | Sanvesh Srivastava <sanvesh@gmail.com> |

Date of publication | 2014-06-02 01:27:39 |

Maintainer | Sanvesh Srivastava <sanvesh@gmail.com> |

License | GPL (>= 3) |

Version | 0.1.2 |

http://www.stat.duke.edu/~ss602/Mposterior/Mposterior.html |

**findWeiszfeldMedian:** Find M-posterior using samples from subset posteriors

**Mposterior-package:** Robust and Scalable Bayes via a Median of Subset Posterior...

**plot.Mposterior:** Plot an object of class Mposterior.

**print.Mposterior:** Print an object of class Mposterior

**summary.Mposterior:** Print an object of class Mposterior

Mposterior

Mposterior/inst

Mposterior/inst/CITATION

Mposterior/src

Mposterior/src/weiszfeldIterations.cpp

Mposterior/src/Makevars.win

Mposterior/src/RcppExports.cpp

Mposterior/NAMESPACE

Mposterior/NEWS

Mposterior/R

Mposterior/R/Mposterior-package.R
Mposterior/R/find-weiszfeld-median.R
Mposterior/R/zzz.R
Mposterior/MD5

Mposterior/README

Mposterior/DESCRIPTION

Mposterior/man

Mposterior/man/plot.Mposterior.Rd
Mposterior/man/Mposterior-package.Rd
Mposterior/man/summary.Mposterior.Rd
Mposterior/man/findWeiszfeldMedian.Rd
Mposterior/man/print.Mposterior.Rd
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