Data

Bayesian concentration-response modelling using jagsNEC

Australian Institute of Marine Science
Australian Institute of Marine Science (AIMS)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://apps.aims.gov.au/metadata/view/67be607d-48e0-4c65-a833-f43a54aebbba&rft.title=Bayesian concentration-response modelling using jagsNEC&rft.identifier=https://apps.aims.gov.au/metadata/view/67be607d-48e0-4c65-a833-f43a54aebbba&rft.publisher=Australian Institute of Marine Science (AIMS)&rft.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.Maintenance and Update Frequency: notPlanned&rft.creator=Australian Institute of Marine Science (AIMS) &rft.date=2026&rft.coverage=westlimit=115.81473711919135; southlimit=-31.983618153145972; eastlimit=115.81473711919135; northlimit=-31.983618153145972&rft.coverage=westlimit=115.81473711919135; southlimit=-31.983618153145972; eastlimit=115.81473711919135; northlimit=-31.983618153145972&rft_rights=Creative Commons Attribution 3.0 Australia License http://creativecommons.org/licenses/by/3.0/au/&rft_rights=Use Limitation: All AIMS data, products and services are provided as is and AIMS does not warrant their fitness for a particular purpose or non-infringement. While AIMS has made every reasonable effort to ensure high quality of the data, products and services, to the extent permitted by law the data, products and services are provided without any warranties of any kind, either expressed or implied, including without limitation any implied warranties of title, merchantability, and fitness for a particular purpose or non-infringement. AIMS make no representation or warranty that the data, products and services are accurate, complete, reliable or current. To the extent permitted by law, AIMS exclude all liability to any person arising directly or indirectly from the use of the data, products and services.&rft_rights=Attribution: Format for citation of metadata sourced from Australian Institute of Marine Science (AIMS) in a list of reference is as follows: Australian Institute of Marine Science (AIMS). (2022). Bayesian concentration-response modelling using jagsNEC. https://apps.aims.gov.au/metadata/view/67be607d-48e0-4c65-a833-f43a54aebbba, accessed[date-of-access].&rft_subject=oceans&rft.type=dataset&rft.language=English Access the data

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Creative Commons Attribution 3.0 Australia License
http://creativecommons.org/licenses/by/3.0/au/

Use Limitation: All AIMS data, products and services are provided "as is" and AIMS does not warrant their fitness for a particular purpose or non-infringement. While AIMS has made every reasonable effort to ensure high quality of the data, products and services, to the extent permitted by law the data, products and services are provided without any warranties of any kind, either expressed or implied, including without limitation any implied warranties of title, merchantability, and fitness for a particular purpose or non-infringement. AIMS make no representation or warranty that the data, products and services are accurate, complete, reliable or current. To the extent permitted by law, AIMS exclude all liability to any person arising directly or indirectly from the use of the data, products and services.

Attribution: Format for citation of metadata sourced from Australian Institute of Marine Science (AIMS) in a list of reference is as follows: "Australian Institute of Marine Science (AIMS). (2022). Bayesian concentration-response modelling using jagsNEC. https://apps.aims.gov.au/metadata/view/67be607d-48e0-4c65-a833-f43a54aebbba, accessed[date-of-access]".

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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: notPlanned

Notes

Credit
Barneche, DR (AIMS)
Credit
Ricardo, G (AIMS)
Credit
Fox, D. Environmetrics Australia
Credit
Fisher, R (AIMS)

Modified: 11 09 2026

This dataset is part of a larger collection

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115.81474,-31.98362

115.81473711919,-31.983618153146

text: westlimit=115.81473711919135; southlimit=-31.983618153145972; eastlimit=115.81473711919135; northlimit=-31.983618153145972

Subjects
oceans |

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Other Information
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

url : https://github.com/open-AIMS/NEC-estimation

Identifiers
  • global : 67be607d-48e0-4c65-a833-f43a54aebbba
ACN 633 798 857