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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=runMCMCbtadjust to link to this page.
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