Full description
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:
- 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.
- 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.
Lineage
Maintenance and Update Frequency: notPlannedNotes
CreditBarneche, DR (AIMS)
Ricardo, G (AIMS)
Fox, D. Environmetrics Australia
Fisher, R (AIMS)
Modified: 11 09 2026
text: westlimit=115.81473711919135; southlimit=-31.983618153145972; eastlimit=115.81473711919135; northlimit=-31.983618153145972
bayesnec is a No-Effect-Concentration estimation package - link to GitHub https://open-aims.github.io/bayesnec
url :
https://open-aims.github.io/bayesnec![]()
Fisher, R., Ricardo, G., & Fox, D. (2020, July 30). jagsNEC: A Bayesian No Effect Concentration (NEC) package. doi:10.5281/ZENODO.3966864
doi :
https://doi.org/10.5281/zenodo.3966863![]()
jagsNEC is an R package to fit concentration(dose) - response curves to toxicity data - link to GitHub Repository: https://github.com/open-AIMS/NEC-estimation
- global : 67be607d-48e0-4c65-a833-f43a54aebbba
