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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 110.4 kB | noarch/r-r2jags-0.7_1-r42hc72bb7e_2.conda  1 year and 7 months ago 1054 main
conda 110.2 kB | noarch/r-r2jags-0.7_1-r43hc72bb7e_2.conda  1 year and 7 months ago 999 main
conda 113.9 kB | noarch/r-r2jags-0.7_1-r42hc72bb7e_1.tar.bz2  2 years and 3 months ago 1381 main
conda 113.6 kB | noarch/r-r2jags-0.7_1-r41hc72bb7e_1.tar.bz2  2 years and 3 months ago 1377 main
conda 112.9 kB | noarch/r-r2jags-0.7_1-r41hc72bb7e_0.tar.bz2  3 years and 5 months ago 1914 main
conda 112.7 kB | noarch/r-r2jags-0.7_1-r40hc72bb7e_0.tar.bz2  3 years and 5 months ago 1866 main

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