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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 112.4 kB | noarch/r-r2jags-0.6_1-r41hc72bb7e_1.tar.bz2  3 years and 9 months ago 2035 main
conda 112.4 kB | noarch/r-r2jags-0.6_1-r40hc72bb7e_1.tar.bz2  3 years and 9 months ago 2177 main
conda 112.2 kB | noarch/r-r2jags-0.6_1-r36h6115d3f_1.tar.bz2  4 years and 10 months ago 3039 main
conda 111.8 kB | noarch/r-r2jags-0.6_1-r40h6115d3f_1.tar.bz2  4 years and 10 months ago 3079 main
conda 111.4 kB | noarch/r-r2jags-0.6_1-r35h6115d3f_0.tar.bz2  4 years and 10 months ago 2922 main

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