Package: label.switching 1.8

label.switching: Relabelling MCMC Outputs of Mixture Models

The Bayesian estimation of mixture models (and more general hidden Markov models) suffers from the label switching phenomenon, making the MCMC output non-identifiable. This package can be used in order to deal with this problem using various relabelling algorithms.

Authors:Panagiotis Papastamoulis

label.switching_1.8.tar.gz
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label.switching_1.8.tgz(r-4.6-any)label.switching_1.8.tgz(r-4.5-any)
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label.switching_1.8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
label.switching/json (API)

# Install 'label.switching' in R:
install.packages('label.switching', repos = c('https://mqbssppe.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • data_list - Simulated MCMC sample and related information
  • lamb - Fetal lamb dataset

On CRAN:

Conda:

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

3.66 score 1 stars 12 packages 113 scripts 1.1k downloads 11 exports 2 dependencies

Last updated from:c610cb9772. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK98
source / vignettesOK190
linux-release-x86_64OK96
macos-release-arm64OK78
macos-oldrel-arm64OK92
windows-develOK78
windows-releaseOK76
windows-oldrelOK78
wasm-releaseOK94

Exports:aiccompare.clustdataBasedecrecr.iterative.1ecr.iterative.2label.switchingpermute.mcmcprasjwstephens

Dependencies:combinatlpSolve