{ "_id": "6a25faf9794753ddbc3e294f", "Package": "mcmcr", "Title": "Manipulate MCMC Samples", "Version": "0.6.2", "Authors@R": "c(\nperson(\"Joe\", \"Thorley\", , \"joe@poissonconsulting.ca\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-7683-4592\")),\nperson(\"Kirill\", \"Müller\", role = \"ctb\",\ncomment = c(ORCID = \"0000-0002-1416-3412\")),\nperson(\"Nadine\", \"Hussein\", role = \"ctb\",\ncomment = c(ORCID = \"0000-0003-4470-8361\")),\nperson(\"Ayla\", \"Pearson\", role = \"ctb\",\ncomment = c(ORCID = \"0000-0001-7388-1222\")),\nperson(\"Poisson Consulting\", role = c(\"cph\", \"fnd\"))\n)", "Description": "Functions and classes to store, manipulate and summarise\nMonte Carlo Markov Chain (MCMC) samples. For more information\nsee Brooks et al. 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