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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. Used with 'nimble', runMCMC_btadjust() allows extra calculations (e.g. information criteria for model comparison and goodness-of-fit p-values for model diagnosis).

Versions across snapshots

VersionRepositoryFileSize
1.1.3 rolling linux/jammy R-4.5 runMCMCbtadjust_1.1.3.tar.gz 373.8 KiB
1.1.3 rolling linux/noble R-4.5 runMCMCbtadjust_1.1.3.tar.gz 373.7 KiB
1.1.3 rolling source/ R- runMCMCbtadjust_1.1.3.tar.gz 284.2 KiB
1.1.3 latest linux/jammy R-4.5 runMCMCbtadjust_1.1.3.tar.gz 373.8 KiB
1.1.3 latest linux/noble R-4.5 runMCMCbtadjust_1.1.3.tar.gz 373.7 KiB
1.1.3 latest source/ R- runMCMCbtadjust_1.1.3.tar.gz 284.2 KiB
1.1.3 2026-04-26 source/ R- runMCMCbtadjust_1.1.3.tar.gz 284.2 KiB
1.1.3 2026-04-23 source/ R- runMCMCbtadjust_1.1.3.tar.gz 284.2 KiB
1.1.3 2026-04-09 windows/windows R-4.5 runMCMCbtadjust_1.1.3.zip 378.0 KiB
1.1.2 2025-04-20 source/ R- runMCMCbtadjust_1.1.2.tar.gz 235.4 KiB

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