GreedyEPL: Greedy Expected Posterior Loss

Summarises a collection of partitions into a single optimal partition. The objective function is the expected posterior loss, and the minimisation is performed through a greedy algorithm described in Rastelli, R. and Friel, N. (2016) "Optimal Bayesian estimators for latent variable cluster models" <arXiv:1607.02325>.

Version: 1.0
Imports: Rcpp (≥ 0.12.10)
LinkingTo: Rcpp, RcppArmadillo
Published: 2017-08-02
Author: Riccardo Rastelli [aut, cre]
Maintainer: Riccardo Rastelli <riccardo.rastelli at>
License: GPL-3
NeedsCompilation: yes
CRAN checks: GreedyEPL results


Reference manual: GreedyEPL.pdf
Package source: GreedyEPL_1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: GreedyEPL_1.0.tgz, r-oldrel: GreedyEPL_1.0.tgz

Reverse dependencies:

Reverse imports: effectFusion
Reverse suggests: BNPdensity


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