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
label.switching_1.8.zip(r-4.5)label.switching_1.8.zip(r-4.4)label.switching_1.8.zip(r-4.3)
label.switching_1.8.tgz(r-4.4-any)label.switching_1.8.tgz(r-4.3-any)
label.switching_1.8.tar.gz(r-4.5-noble)label.switching_1.8.tar.gz(r-4.4-noble)
label.switching_1.8.tgz(r-4.4-emscripten)label.switching_1.8.tgz(r-4.3-emscripten)
label.switching.pdf |label.switching.html
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'))

Peer review:

Datasets:
  • data_list - Simulated MCMC sample and related information
  • lamb - Fetal lamb dataset

On CRAN:

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

3.26 score 1 stars 11 packages 52 scripts 1.1k downloads 11 exports 2 dependencies

Last updated 5 years agofrom:c610cb9772. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 17 2024
R-4.5-winOKOct 17 2024
R-4.5-linuxOKOct 17 2024
R-4.4-winOKOct 17 2024
R-4.4-macOKOct 17 2024
R-4.3-winOKOct 17 2024
R-4.3-macOKOct 17 2024

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

Dependencies:combinatlpSolve