bayesnec: A Bayesian No-Effect- Concentration (NEC) Algorithm

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>). This package expands and supersedes an original version implemented in R2jags, see Fisher, Ricardo and Fox (2020)<doi:10.5281/ZENODO.3966864>.

Depends: R (≥ 4.1), brms, ggplot2
Imports:, loo, dplyr, tidyr, purrr, tibble, tidyselect, evaluate, rlang, chk (≥ 0.7.0)
Suggests: rstan, knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2024-03-28
DOI: 10.32614/CRAN.package.bayesnec
Author: Rebecca Fisher [aut, cre], Diego Barneche [aut], Gerard Ricardo [aut], David Fox [aut]
Maintainer: Rebecca Fisher <r.fisher at>
License: GPL-2
NeedsCompilation: no
Materials: README NEWS
In views: Pharmacokinetics
CRAN checks: bayesnec results


Reference manual: bayesnec.pdf
Vignettes: Single model usage
Multi model usage
Model details
Comparing posterior predictions
Running 'bayesnec'


Package source: bayesnec_2.1.2.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): bayesnec_2.1.2.0.tgz, r-oldrel (arm64): bayesnec_2.1.2.0.tgz, r-release (x86_64): bayesnec_2.1.2.0.tgz, r-oldrel (x86_64): bayesnec_2.1.2.0.tgz
Old sources: bayesnec archive


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