Package: GreedyEPL 1.2

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]

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GreedyEPL.pdf |GreedyEPL.html
GreedyEPL/json (API)

# Install 'GreedyEPL' in R:
install.packages('GreedyEPL', repos = c('https://riccardorastelli.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

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

2 exports 0.36 score 2 dependencies 1 mentions 12 scripts 152 downloads

Last updated 3 years agofrom:5a72356b5e. Checks:OK: 4 NOTE: 5. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 08 2024
R-4.5-win-x86_64NOTESep 08 2024
R-4.5-linux-x86_64NOTESep 08 2024
R-4.4-win-x86_64NOTESep 08 2024
R-4.4-mac-x86_64NOTESep 08 2024
R-4.4-mac-aarch64NOTESep 08 2024
R-4.3-win-x86_64OKSep 08 2024
R-4.3-mac-x86_64OKSep 08 2024
R-4.3-mac-aarch64OKSep 08 2024

Exports:CollapseLabelsMinimiseEPL

Dependencies:RcppRcppArmadillo

Readme and manuals

Help Manual

Help pageTopics
Greedy Expected Posterior LossGreedyEPL-package GreedyEPL
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