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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 120.4 kB | noarch/r-r2jags-0.8_5-r43h785f33e_1.conda  6 months and 19 days ago 549 main
conda 121.7 kB | noarch/r-r2jags-0.8_5-r44h785f33e_1.conda  6 months and 19 days ago 550 main
conda 121.1 kB | noarch/r-r2jags-0.8_5-r43h785f33e_0.conda  10 months and 10 days ago 793 main
conda 120.6 kB | noarch/r-r2jags-0.8_5-r42h785f33e_0.conda  10 months and 10 days ago 782 main

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