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 uses 'brms' (see Burkner (2017); Burkner (2018); Carpenter 'et al.' (2017) to fit concentration(dose)-response data using Bayesian methods for the purpose of estimating 'ECx' values, but more particularly 'NEC' (see Fox (2010)), 'NSEC' (see Fisher and Fox (2023)), and 'N(S)EC (see Fisher et al. 2023). A full description of this package can be found in Fisher 'et al.' (2024). This package expands and supersedes an original version implemented in 'R2jags' (see Su and Yajima (2020); Fisher et al. (2020)). Depends: R (>= 4.1), brms, ggplot2 License: GPL-2 Encoding: UTF-8 LazyData: true RoxygenNote: 7.3.2 Biarch: true Imports: formula.tools, loo, dplyr, tidyr, purrr, tibble, tidyselect, evaluate, rlang, chk (>= 0.7.0) Suggests: rstan, knitr, rmarkdown, testthat (>= 3.0.0) 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: 2026-06-11 08:39:25 UTC; root Author: Rebecca Fisher [aut, cre] (ORCID: ), Diego R. Barneche [aut] (ORCID: ), Gerard F. Ricardo [aut] (ORCID: ), David R. Fox [aut] (ORCID: ) Maintainer: Rebecca Fisher