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Providing wrapper functions to implement Bayesian analysis in JAGS. Some major features include monitoring convergence of a MCMC model using Rubin and Gelman Rhat statistics, automatically running a MCMC model till it converges, and implementing parallel processing of a MCMC model for multiple chains.

copied from cf-staging / r-r2jags
Type Size Name Uploaded Downloads Labels
conda 110.5 kB | noarch/r-r2jags-0.7_1.1-r42hc72bb7e_0.conda  10 months and 29 days ago 649 main
conda 110.2 kB | noarch/r-r2jags-0.7_1.1-r43hc72bb7e_0.conda  10 months and 29 days ago 660 main

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