label.switching: Relabelling MCMC Outputs of Mixture Models

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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.

Author
Panagiotis Papastamoulis
Date of publication
2016-05-22 15:01:28
Maintainer
Panagiotis Papastamoulis <papapast@yahoo.gr>
License
GPL-2
Version
1.6

View on CRAN

Man pages

aic
Artificial Identifiability Constraints
compare.clust
Make all estimated clusters agree with a pivot allocation
dataBased
Data-based labelling
data_list
Simulated MCMC sample and related information
ecr
ECR algorithm (default version)
ecr.iterative.1
ECR algorithm (iterative version 1)
ecr.iterative.2
ECR algorithm (iterative version 2)
label.switching
Main calling function
label.switching-package
Algorithms for solving the label switching problem
lamb
Fetal lamb dataset
permute.mcmc
Reorder MCMC samples
pra
PRA algorithm
sjw
Probabilistic relabelling algorithm
stephens
Stephens' algorithm

Files in this package

label.switching
label.switching/inst
label.switching/inst/CITATION
label.switching/NAMESPACE
label.switching/data
label.switching/data/fetal-lamb.RData
label.switching/data/mcmc_output.RData
label.switching/R
label.switching/R/relabelling_algorithms.R
label.switching/MD5
label.switching/DESCRIPTION
label.switching/man
label.switching/man/sjw.Rd
label.switching/man/pra.Rd
label.switching/man/data_list.Rd
label.switching/man/dataBased.Rd
label.switching/man/label.switching-package.Rd
label.switching/man/ecr.iterative.2.Rd
label.switching/man/aic.Rd
label.switching/man/permute.mcmc.Rd
label.switching/man/compare.clust.Rd
label.switching/man/lamb.Rd
label.switching/man/ecr.Rd
label.switching/man/stephens.Rd
label.switching/man/label.switching.Rd
label.switching/man/ecr.iterative.1.Rd