{ "_id": "6ac89d9dde46216d5edd4963", "Package": "rmsb", "Title": "Bayesian Regression Modeling Strategies", "Version": "1.1-3", "Date": "2026-09-03", "Authors@R": "c(person(given = \"Frank\",\nfamily = \"Harrell\",\nrole = c(\"aut\", \"cre\"),\nemail = \"fh@fharrell.com\",\ncomment = c(ORCID = \"0000-0002-8271-5493\")),\nperson(given = \"Ben\",\nfamily = \"Goodrich\",\nrole = \"ctb\",\nemail = \"benjamin.goodrich@columbia.edu\",\ncomment = \"contributed Stan code\"),\nperson(given = \"Ben\",\nfamily = \"Bolker\",\nrole = \"ctb\",\ncomment = \"wrote original code that is folded into the pdensityContour function\"),\nperson(given = \"Doug\",\nfamily = \"Bates\",\nrole = \"ctb\",\ncomment = \"write original code for highest posterior density interval that is folded into the HPDint function\"))", "Description": "A Bayesian companion to the 'rms' package, 'rmsb' provides\nBayesian model fitting, post-fit estimation, and graphics. 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