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bayesnec: An R Package for Concentration-Response Modeling and Estimation of Toxicity Metrics

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The bayesnec package has been developed for R to fit concentration (dose)-response curves (CR) to toxicity data for the purpose of deriving 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 Hamiltonian Monte Carlo (HMC) via R packages brms and rstan or cmdstanr. In bayesnec it is possible to fit a single model, custom model-set, specific model-set or all of the available models. When multiple models are specified, the bnec() function returns a model weighted average estimate of predicted posterior values. A range of support functions and methods is also included to work with the returned single, or multi-model objects that allow extraction of raw, or model averaged predicted, NEC, NSEC and ECx values and to interrogate the fitted model or model-set. By combining Bayesian methods with model averaging, bayesnec provides a single estimate of toxicity and associated uncertainty that can be directly integrated into risk assessment frameworks.

For full details see: Fisher, R., Barneche, D. R., Ricardo, G. F., & Fox, D. R. (2024). bayesnec: An R Package for Concentration-Response Modeling and Estimation of Toxicity Metrics. Journal of Statistical Software, 110(5), 1–41. https://doi.org/10.18637/jss.v110.i05

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Date (revision)2026-10-24
Statuscompleted
Update frequencyasNeeded
Metadata languageen
LicenseCreative Commons Attribution 4.0
Source metadataISO 19115 XML
Last updated2026-11-05
Created2026-11-05
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