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>.

Version:	2.1.2.0
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:	2024-03-28
Author:	Rebecca Fisher [aut, cre], Diego Barneche [aut], Gerard Ricardo [aut], David 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
Materials:	README NEWS
In views:	Pharmacokinetics
CRAN checks:	bayesnec results

Documentation:

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

Downloads:

Package source:	bayesnec_2.1.2.0.tar.gz
Windows binaries:	r-devel: bayesnec_2.1.2.0.zip, r-release: bayesnec_2.1.2.0.zip, r-oldrel: bayesnec_2.1.2.0.zip
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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