Bayesian concentration-response modelling using jagsNEC
This project used a suite of modern statistical methods to build robust tools for deriving probabilistic management thresholds from ecotoxicological data for use in water quality assessment and environmental risk assessment.
This record documents the R packages developed under the project which proposed statistical solutions to account for uncertainty and appropriate methods for dealing with small samples:
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bayesnec is a No-Effect-Concentration estimation package that uses brms to fit concentration(dose)-response data using Bayesian methods for the purpose of estimating both ECX values, but more particularly NEC.
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the jagsNEC is an R package to fit concentration(dose) - response curves to toxicity data, and derive No-Effect-Concentration (NEC), No-Significant-Effect-Concentration (NSEC), and Effect-Concentration (of specified percentage ‘x’, ECx) thresholds from non-linear models fitted using Bayesian MCMC fitting methods via the R2jags package and jags.
Data and resources
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bayesnec is a No-Effect-Concentration estimation package - link to GitHub https://open-aims.github.io/bayesnecHTML Open
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Fisher, R., Ricardo, G., & Fox, D. (2020, July 30). jagsNEC: A Bayesian No Effect Concentration (NEC) package. doi:10.5281/ZENODO.3966864HTML Open
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jagsNEC is an R package to fit concentration(dose) - response curves to toxicity data - link to GitHub Repository: https://github.com/open-AIMS/NEC-estimationHTML Open
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Additional information
| Date (revision) | 2026-10-24 |
|---|---|
| Status | completed |
| Update frequency | notPlanned |
| Metadata language | en |
| License | Creative Commons Attribution 4.0 |
| Source metadata | ISO 19115 XML |
| Last updated | 2026-11-05 |
| Created | 2026-11-05 |
| API | package_show |