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>.
| Version: | 2.0.2.4 |
| Depends: | R (≥ 4.0), brms, ggplot2 |
| Imports: | formula.tools, loo, extraDistr, dplyr, tidyr, purrr, tidyselect, evaluate, rlang |
| Suggests: | rstan, knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2022-04-21 |
| 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 |
| Reference manual: | bayesnec.pdf |
| Vignettes: |
Single model usage Multi model usage Model details Priors Comparing posterior predictions |
| Package source: | bayesnec_2.0.2.4.tar.gz |
| Windows binaries: | r-devel: bayesnec_2.0.2.4.zip, r-release: bayesnec_2.0.2.4.zip, r-oldrel: bayesnec_2.0.2.4.zip |
| macOS binaries: | r-release (arm64): bayesnec_2.0.2.4.tgz, r-oldrel (arm64): bayesnec_2.0.2.4.tgz, r-release (x86_64): bayesnec_2.0.2.4.tgz, r-oldrel (x86_64): bayesnec_2.0.2.4.tgz |
| Old sources: | bayesnec archive |
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