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 [cre, aut] (INRAE), Institut national de recherche pour l'agriculture, l'alimentation et l'environnement [cph] (INRAE)
Maintainer:	Frédéric Gosselin <frederic.gosselin at inrae.fr>
License:
NeedsCompilation:	no
Materials:	NEWS
CRAN checks:	runMCMCbtadjust results

Documentation:

Reference manual:	runMCMCbtadjust.pdf
Vignettes:	runMCMCbtadjust Presentation

Downloads:

Package source:	runMCMCbtadjust_1.1.0.tar.gz
Windows binaries:	r-devel: runMCMCbtadjust_1.1.0.zip, r-release: runMCMCbtadjust_1.1.0.zip, r-oldrel: runMCMCbtadjust_1.1.0.zip
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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