{ "_id": "6a103441acfb0bcc41c98dcc", "Package": "bayesnec", "Title": "A Bayesian No-Effect- Concentration (NEC) Algorithm", "Version": "2.1.3.1", "Authors@R": "c(person(\"Rebecca\", \"Fisher\", email = \"r.fisher@aims.gov.au\", role = c(\"aut\", \"cre\"),comment = c(ORCID = \"0000-0001-5148-6731\")), person(\"Diego R.\",\"Barneche\",role=\"aut\",comment = c(ORCID = \"0000-0002-4568-2362\")), person(\"Gerard F.\",\"Ricardo\",role=\"aut\",comment = c(ORCID = \"0000-0002-2220-3971\")), person(\"David R.\",\"Fox\",role=\"aut\",comment = c(ORCID = \"0000-0002-3178-7243\")))", "Description": "Implementation of No-Effect-Concentration estimation that\nuses 'brms' (see Burkner (2017);\nBurkner (2018); Carpenter 'et al.'\n(2017) to fit\nconcentration(dose)-response data using Bayesian methods for\nthe purpose of estimating 'ECx' values, but more particularly\n'NEC' (see Fox (2010)),\n'NSEC' (see Fisher and Fox (2023)), and\n'N(S)EC (see Fisher et al. 2023). A full\ndescription of this package can be found in Fisher 'et al.'\n(2024). This package expands and\nsupersedes an original version implemented in 'R2jags' (see Su\nand Yajima (2020);\nFisher et al. (2020)).", "License": "GPL-2", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.3.2", "Biarch": "true", "VignetteBuilder": "knitr", "URL": "https://open-aims.github.io/bayesnec/", "BugReports": "https://github.com/open-aims/bayesnec/issues", "Roxygen": "list(markdown = TRUE)", "Config/testthat/edition": "3", "Config/pak/sysreqs": "make libicu-dev", "Repository": "https://open-aims.r-universe.dev", "Date/Publication": "2025-08-10 23:41:16 UTC", "RemoteUrl": "https://github.com/open-aims/bayesnec", "RemoteRef": "HEAD", "RemoteSha": "6f6bd25d27c92ca4878ac7a9d0766405bbc9e71a", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-12 07:55:30 UTC", "User": "root" }, "Author": "Rebecca Fisher [aut, cre] (ORCID:\n),\nDiego R. Barneche [aut] (ORCID:\n),\nGerard F. Ricardo [aut] (ORCID:\n),\nDavid R. 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