Implementation of No-Effect-Concentration estimation that uses 'brms' (see Burkner (2017)<doi:10.18637/jss.v080.i01>; Burkner (2018)<doi:10.32614/RJ-2018-017>; Carpenter 'et al.' (2017)<doi:10.18637/jss.v076.i01> to fit concentration(dose)-response data using Bayesian methods for the purpose of estimating 'ECx' values, but more particularly 'NEC' (see Fox (2010)<doi:10.1016/j.ecoenv.2009.09.012>), 'NSEC' (see Fisher and Fox (2023)<doi:10.1002/etc.5610>), and 'N(S)EC (see Fisher et al. 2023<doi:10.1002/ieam.4809>). A full description of this package can be found in Fisher 'et al.' (2024)<doi:10.18637/jss.v110.i05>. This package expands and supersedes an original version implemented in 'R2jags' (see Su and Yajima (2020)<https://CRAN.R-project.org/package=R2jags>; Fisher et al. (2020)<doi:10.5281/ZENODO.3966864>).
Version: 2.1.3.0 Depends: R (≥ 4.1), brms, ggplot2 Imports: formula.tools, loo, dplyr, tidyr, purrr, tibble, tidyselect, evaluate, rlang, chk (≥ 0.7.0) Suggests: rstan, knitr, rmarkdown, testthat (≥ 3.0.0) Published: 2024-08-19 DOI: 10.32614/CRAN.package.bayesnec Author: Rebecca Fisher [aut, cre], Diego R. Barneche [aut], Gerard F. Ricardo [aut], David R. Fox [aut] Maintainer: Rebecca Fisher <r.fisher at aims.gov.au> BugReports: https://github.com/open-aims/bayesnec/issues License: GPL-2 URL: https://open-aims.github.io/bayesnec/ NeedsCompilation: no Citation: bayesnec citation info Materials: README NEWS In views: Pharmacokinetics CRAN checks: bayesnec results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=bayesnec to link to this page.
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