CRAN/E | runMCMCbtadjust

runMCMCbtadjust

Runs Monte Carlo Markov Chain - With Either 'JAGS', 'nimble' or 'greta' - While Adjusting Burn-in and Thinning Parameters

Installation

About

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).

Key Metrics

Version 1.1.1
Published 2024-06-05 126 days ago
Needs compilation? no
License CECILL-2.1
CRAN checks runMCMCbtadjust results

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Maintainer

Maintainer

Frédéric Gosselin

Authors

Frédéric Gosselin

cre / aut

(INRAE)

Institut national de recherche pour l'agriculture
l'alimentation et l'environnement

cph

(INRAE)

Material

NEWS
Reference manual
Package source

Vignettes

Nimble samplers
runMCMCbtadjust Presentation
Extra calculations with Nimble

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

runMCMCbtadjust archive

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