A No-Effect toxicity estimation package that uses brms (Bürkner (2018), https://github.com/paul-buerkner/brms) to fit concentration (dose)-response data using Bayesian methods for the purpose of estimating both Effect Concentration (ECx) values, but more particularly 'NEC' (Fox 2010), 'NSEC' (Fisher and Fox 2023), and 'N(S)EC (Fisher et al. 2023). A full description of bayesnec can be found in Fisher et al. (2024). Please see ?bnec for more details. This package expands and supersedes an original version implemented in R2jags (Su and Yajima 2020), see Fisher et
Bürkner P-C (2018) Advanced Bayesian Multilevel Modeling with the R Package brms. The R Journal, 10: 395-411. doi:10.32614/RJ-2018-017.
Fisher R, Barneche DR, Ricardo GF, Fox, DR (2024) An R Package for Concentration-Response Modeling and Estimation of Toxicity Metrics doi:10.18637/jss.v110.i05.
Fisher R, Fox DR (2023). Introducing the no significant effect concentration (NSEC).Environmental Toxicology and Chemistry, 42(9), 2019–2028. doi: 10.1002/etc.5610.
Fisher R, Fox DR, Negri AP, van Dam J, Flores F, Koppel D (2023). Methods for estimating no-effect toxicity concentrations in ecotoxicology. Integrated Environmental Assessment and Management. doi:10.1002/ieam.4809.
Fisher R, Ricardo GF, Fox, DR (2020) jagsNEC: A Bayesian No Effect Concentration (NEC) package. doi:10.5281/ZENODO.3966864.
Su Y, Yajima M (2020). R2jags: Using R to Run 'JAGS'. R package version 0.6-1, https://CRAN.R-project.org/package=R2jags.
Fox DR (2010). A Bayesian Approach for Determining the No Effect Concentration and Hazardous Concentration in Ecotoxicology. Ecotoxicology and Environmental Safety, 73(2), 123–131. doi: 10.1016/j.ecoenv.2009.09.012.