Package: bayesnec
Title: A Bayesian No-Effect- Concentration (NEC) Algorithm
Version: 2.1.0.0
Authors@R: c(person("Rebecca", "Fisher", email = "r.fisher@aims.gov.au", role = c("aut", "cre")), person("Diego","Barneche",role="aut"), person("Gerard","Ricardo",role="aut"), person("David","Fox",role="aut"))
Description: 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>. 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
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
Biarch: true
Imports: formula.tools, loo, extraDistr, dplyr, tidyr, purrr,
        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
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2022-12-15 06:15:53 UTC; dbarneche
Author: Rebecca Fisher [aut, cre],
  Diego Barneche [aut],
  Gerard Ricardo [aut],
  David Fox [aut]
Maintainer: Rebecca Fisher <r.fisher@aims.gov.au>
Repository: CRAN
Date/Publication: 2022-12-15 06:40:02 UTC
