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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:
Downloads:
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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