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runMCMCbtadjust: Runs Monte Carlo Markov Chain - With Either 'JAGS', 'nimble' or 'greta' - While Adjusting Burn-in and Thinning Parameters
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).
Getting started
Browse package contents
Package details |
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| Author | Frédéric Gosselin [cre, aut] (<https://orcid.org/0000-0003-3737-106X>, INRAE), Institut national de recherche pour l'agriculture, l'alimentation et l'environnement [cph] (INRAE) |
| Maintainer | Frédéric Gosselin <frederic.gosselin@inrae.fr> |
| License | CECILL-2.1 |
| Version | 1.1.1 |
| Package repository | View on CRAN |
| Installation |
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