Estimates the precision of transdimensional Markov chain Monte Carlo
(MCMC) output, which is often used for Bayesian analysis of models with different
dimensionality (e.g., model selection). Transdimensional MCMC (e.g., reversible
jump MCMC) relies on sampling a discrete modelindicator variable to estimate
the posterior model probabilities. If only few switches occur between the models,
precision may be low and assessment based on the assumption of independent
samples misleading. Based on the observed transition matrix of the indicator
variable, the method of Heck, Overstall, Gronau, & Wagenmakers (2017)
Package details 


Author  Daniel W. Heck [aut, cre] 
Date of publication  20170804 13:48:34 UTC 
Maintainer  Daniel W. Heck <[email protected]> 
License  GPL (>= 2) 
Version  0.3.7 
URL  https://github.com/danheck/MCMCprecision 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

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