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runMCMCbtadjust  

Runs Monte Carlo Markov Chain - With Either 'JAGS', 'nimble' or 'greta' - While Adjusting Burn-in and Thinning Parameters
View on CRAN: Click here


Download and install runMCMCbtadjust package within the R console
Install from CRAN:
install.packages("runMCMCbtadjust")

Install from Github:
library("remotes")
install_github("cran/runMCMCbtadjust")

Install by package version:
library("remotes")
install_version("runMCMCbtadjust", "1.1.2")



Attach the package and use:
library("runMCMCbtadjust")
Maintained by
Frédéric Gosselin
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-06-19
Latest Update: 2023-12-13
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.
How to cite:
Frédéric Gosselin (2023). runMCMCbtadjust: Runs Monte Carlo Markov Chain - With Either 'JAGS', 'nimble' or 'greta' - While Adjusting Burn-in and Thinning Parameters. R package version 1.1.2, https://cran.r-project.org/web/packages/runMCMCbtadjust. Accessed 05 Jan. 2025.
Previous versions and publish date:
1.0.0 (2023-06-19 17:10), 1.0.1 (2023-06-29 13:30), 1.0.2 (2023-07-07 11:40), 1.0.3 (2023-07-20 14:10), 1.0.4 (2023-11-10 12:20), 1.0.5 (2023-12-13 10:50), 1.1.0 (2024-04-25 17:00), 1.1.1 (2024-06-05 23:30)
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Complete documentation for runMCMCbtadjust
Functions, R codes and Examples using the runMCMCbtadjust R package
Some associated functions: runMCMC_btadjust . runMCMCbtadjust-package . 
Some associated R codes: runMCMCbtadjust-package.R .  Full runMCMCbtadjust package functions and examples
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