runMCMCbtadjust: Runs Monte Carlo Markov Chain - With Either 'JAGS', 'nimble' or 'greta' - While Adjusting Burn-in and Thinning Parameters (original) (raw)
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).
| Version: | 1.1.2 |
|---|---|
| Imports: | coda |
| Suggests: | nimble (≥ 1.0.0), rjags, runjags, greta, R6, tensorflow, ggmcmc, rstan, knitr, markdown, testthat (≥ 3.0.0), nimbleAPT (≥ 1.0.6), nimbleHMC, parallel, Hmisc, moments |
| Published: | 2024-08-28 |
| DOI: | 10.32614/CRAN.package.runMCMCbtadjust |
| Author: | Frédéric Gosselin  [cre, aut] (institution: INRAE), Institut national de recherche pour l'agriculture, l'alimentation et l'environnement [cph] (INRAE) |
| Maintainer: | Frédéric Gosselin <frederic.gosselin at inrae.fr> |
| License: | CECILL-2.1 |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | runMCMCbtadjust results [issues need fixing before 2025-11-10] |
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