Package: GreedyEPL 1.3

Riccardo Rastelli

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. (2017) "Optimal Bayesian estimators for latent variable cluster models" <doi:10.1007/s11222-017-9786-y>.

Authors:Riccardo Rastelli [aut, cre]

GreedyEPL_1.3.tar.gz
GreedyEPL_1.3.tar.gz(r-4.7-arm64)GreedyEPL_1.3.tar.gz(r-4.7-x86_64)GreedyEPL_1.3.tar.gz(r-4.6-arm64)GreedyEPL_1.3.tar.gz(r-4.6-x86_64)
GreedyEPL_1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
GreedyEPL/json (API)

# Install 'GreedyEPL' in R:
install.packages('GreedyEPL', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascpp

1.08 score 12 scripts 203 downloads 1 mentions 2 exports 2 dependencies

Last updated from:08f4df062a. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK135
linux-devel-x86_64OK170
source / vignettesOK203
linux-release-arm64OK174
linux-release-x86_64OK139
wasm-releaseOK136

Exports:CollapseLabelsMinimiseEPL

Dependencies:RcppRcppArmadillo

Readme and manuals

Help Manual

Help pageTopics
Greedy Expected Posterior LossGreedyEPL-package GreedyEPL
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