runMCMCbtadjust (version 1.1.2)
Runs Monte Carlo Markov Chain - With Either 'JAGS', 'nimble' or
'greta' - While Adjusting Burn-in and Thinning Parameters
Description
The function runMCMC_btadjust() returns a mcmc.list object which is the output of a
Markov Chain Monte Carlo obtained - from either 'JAGS', 'nimble' or 'greta' -
after adjusting burn-in and thinning parameters to meet pre-specified criteria
in terms of convergence & effective sample size. Used with 'nimble', runMCMC_btadjust()
allows extra calculations (e.g. information criteria for model comparison and goodness-of-fit
p-values for model diagnosis).