{ "_id": "6a16a233acfb0bcc41d8176d", "Package": "BayesLN", "Title": "Bayesian Inference for Log-Normal Data", "Version": "0.2.12", "Authors@R": "c(person(\"Aldo\", \"Gardini\", email = \"aldo.gardini2@unibo.it\", role = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0002-2164-5815\")), \nperson(\"Enrico\", \"Fabrizi\", role = c(\"aut\"), comment = c(ORCID = \"0000-0003-2504-7043\")),\nperson(\"Carlo\", \"Trivisano\", role = c(\"aut\"), comment = c(ORCID = \"0000-0002-5991-4902\")))", "Description": "Bayesian inference under log-normality assumption must be\nperformed very carefully. In fact, under the common priors for\nthe variance, useful quantities in the original data scale\n(like mean and quantiles) do not have posterior moments that\nare finite (Fabrizi et al. 2012 ). This\npackage allows to easily carry out a proper Bayesian\ninferential procedure by fixing a suitable distribution (the\ngeneralized inverse Gaussian) as prior for the variance.\nFunctions to estimate several kind of means (unconditional,\nconditional and conditional under a mixed model) and quantiles\n(unconditional and conditional) are provided.", "License": "GPL-3", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.3.2", "VignetteBuilder": "knitr", "Date": "2025-07-31", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-05-27 07:44:12 UTC", "User": "root" }, "Author": "Aldo Gardini [aut, cre] (ORCID:\n), Enrico Fabrizi [aut]\n(ORCID: ), Carlo\nTrivisano [aut] (ORCID:\n)", "Maintainer": "Aldo Gardini ", "Config/pak/sysreqs": "cmake make libgsl0-dev", "Repository": "https://agardini.r-universe.dev", "Date/Publication": "2025-07-31 12:40:02 UTC", "RemoteUrl": "https://github.com/cran/BayesLN", "RemoteRef": "HEAD", "RemoteSha": "19a0893361b7383a0d8a6ab39a9d2882da14f857", 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