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>).">

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

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 ORCID iD [aut, cre], Diego R. Barneche ORCID iD [aut], Gerard F. Ricardo ORCID iD [aut], David R. Fox ORCID iD [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 formhttps://CRAN.R-project.org/package=bayesnecto link to this page.