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label.switching  

Relabelling MCMC Outputs of Mixture Models
View on CRAN: Click here


Download and install label.switching package within the R console
Install from CRAN:
install.packages("label.switching")

Install from Github:
library("remotes")
install_github("cran/label.switching")

Install by package version:
library("remotes")
install_version("label.switching", "1.8")



Attach the package and use:
library("label.switching")
Maintained by
Panagiotis Papastamoulis
[Scholar Profile | Author Map]
First Published: 2013-09-16
Latest Update: 2019-07-01
Description:
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.
How to cite:
Panagiotis Papastamoulis (2013). label.switching: Relabelling MCMC Outputs of Mixture Models. R package version 1.8, https://cran.r-project.org/web/packages/label.switching. Accessed 29 Apr. 2025.
Previous versions and publish date:
1.0 (2013-09-16 08:32), 1.1 (2013-10-10 00:25), 1.2 (2013-12-04 11:42), 1.3 (2014-11-05 14:14), 1.4 (2015-07-06 19:34), 1.5 (2016-02-01 13:21), 1.6 (2016-05-22 15:01), 1.7 (2018-05-18 11:52)
Other packages that cited label.switching R package
View label.switching citation profile
Other R packages that label.switching depends, imports, suggests or enhances
Complete documentation for label.switching
Functions, R codes and Examples using the label.switching R package
Some associated functions: aic . compare.clust . dataBased . data_list . ecr.iterative.1 . ecr.iterative.2 . ecr . label.switching-package . label.switching . lamb . permute.mcmc . pra . sjw . stephens . 
Some associated R codes: relabelling_algorithms.R .  Full label.switching package functions and examples
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