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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-post-staging / r-r2jags
Type Size Name Uploaded Downloads Labels
conda 126.8 kB | noarch/r-r2jags-0.8_9-r45h785f33e_1.conda  3 days and 17 hours ago 35 main
conda 126.6 kB | noarch/r-r2jags-0.8_9-r44h785f33e_1.conda  3 days and 17 hours ago 40 main
conda 125.0 kB | noarch/r-r2jags-0.8_9-r43h785f33e_0.conda  11 months and 8 days ago 781 main
conda 126.0 kB | noarch/r-r2jags-0.8_9-r44h785f33e_0.conda  11 months and 8 days ago 917 main

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