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.

Version: 1.1.0
Imports: coda
Suggests: nimble (≥ 1.0.0), rjags, runjags, greta, R6, tensorflow, ggmcmc, rstan, knitr, markdown, testthat (≥ 3.0.0), nimbleAPT (≥ 1.0.6), parallel, Hmisc
Published: 2024-04-25
Author: Frédéric Gosselin ORCID iD [cre, aut] (INRAE), Institut national de recherche pour l'agriculture, l'alimentation et l'environnement [cph] (INRAE)
Maintainer: Frédéric Gosselin <frederic.gosselin at>
NeedsCompilation: no
Materials: NEWS
CRAN checks: runMCMCbtadjust results


Reference manual: runMCMCbtadjust.pdf
Vignettes: runMCMCbtadjust Presentation


Package source: runMCMCbtadjust_1.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): runMCMCbtadjust_1.1.0.tgz, r-oldrel (arm64): runMCMCbtadjust_1.1.0.tgz, r-release (x86_64): runMCMCbtadjust_1.1.0.tgz, r-oldrel (x86_64): runMCMCbtadjust_1.1.0.tgz
Old sources: runMCMCbtadjust archive


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