Non-Reversible Markov Chains for Bayesian Mixture Models

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Documentation for package ‘nrMCmix’ version 0.3

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

nrMCmix-package	Non-Reversible Markov Chains for Bayesian Mixture Models
compute_similarity_matrix	Compute the posterior similarity matrix
extract_params	Extract a Parameter from a 'nrMCmix' object.
generate_data	Simulate data from a Bayesian mixture-model generative process.
nrMCmix	MCMC inference for Bayesian mixture models
plot.nrMCmix	Plot diagnostics for an 'nrMCmix' model
posterior_density1	Evaluate the posterior predictive density
posterior_density2	Evaluate the bivariate posterior predictive density
print.nrMCmix	Print an 'nrMCmix' model fit
print.summary.nrMCmix	Print an 'nrMCmix' model summary
priorK	Prior distribution of the number of clusters
specify_model	Specify the model and prior distributions
specify_sampler	Specify the sampling algorithm
summary.nrMCmix	Summarize an nrMCmix model fit