runMCMCbtadjust-package {runMCMCbtadjust}R Documentation

The versions up to 1.1.1 of this package wer supported by the GAMBAS project funded by the French National Research Agency (ANR-18-CE02-0025). This package was developed as part of the author activity at UR EFNO, INRAE, France.

Description

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).

Author(s)

Maintainer: Frédéric Gosselin frederic.gosselin@inrae.fr (ORCID) (INRAE)

Other contributors:


[Package runMCMCbtadjust version 1.1.1 Index]