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'mcgibbsit' provides an implementation of Warnes & Raftery's MCGibbsit run-length diagnostic for a set of (not-necessarily independent) MCMC samplers. It combines the estimate error-bounding approach of the Raftery and Lewis MCMC run length diagnostic with the between verses within chain approach of the Gelman and Rubin MCMC convergence diagnostic.

copied from cf-post-staging / r-mcgibbsit
Type Size Name Uploaded Downloads Labels
conda 733.2 kB | noarch/r-mcgibbsit-1.2.2-r44hc72bb7e_2.conda  8 days and 2 hours ago 53 main
conda 733.5 kB | noarch/r-mcgibbsit-1.2.2-r45hc72bb7e_2.conda  8 days and 2 hours ago 55 main
conda 732.2 kB | noarch/r-mcgibbsit-1.2.2-r44hc72bb7e_1.conda  1 year and 2 months ago 975 main
conda 730.4 kB | noarch/r-mcgibbsit-1.2.2-r43hc72bb7e_1.conda  1 year and 2 months ago 998 main
conda 731.7 kB | noarch/r-mcgibbsit-1.2.2-r43hc72bb7e_0.conda  2 years and 4 hours ago 1275 main
conda 731.1 kB | noarch/r-mcgibbsit-1.2.2-r42hc72bb7e_0.conda  2 years and 4 hours ago 1280 main

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