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runMCMCbtadjust

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

v1.1.3 · Mar 24, 2026 · CECILL-2.1
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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).

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dependencies in R code

'library' or 'require' calls in package code:
  ‘nimble’ ‘nimbleAPT’
  Please use :: or requireNamespace() instead.
  See section 'Suggested packages' in the 'Writing R Extensions' manual.

Check History

NOTE 7 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 24, 2026
NOTE r-oldrel-macos-arm64

dependencies in R code

'library' or 'require' calls in package code:
  ‘nimble’ ‘nimbleAPT’
  Please use :: or requireNamespace() instead.
  See section 'Suggested packages' in the 'Writing R Extensions' manual.

Dependency Network

Dependencies Reverse dependencies coda runMCMCbtadjust

Version History

new 1.1.3 Mar 24, 2026