Bias-corrected estimates of harbour porpoise bycatch in gillnet fisheries ...
Two R scripts used for model selection and validation in the manuscript submitted to Proceedings of the Royal Society B in 2023 (“Knowing the fishery to know the bycatch: bias-corrected estimates of harbour porpoise bycatch in gillnet fisheries”). The first script selects and describes the most appr...
Main Author: | |
---|---|
Format: | Article in Journal/Newspaper |
Language: | unknown |
Published: |
Technical University of Denmark
2024
|
Subjects: | |
Online Access: | https://dx.doi.org/10.11583/dtu.23301290.v2 https://data.dtu.dk/articles/software/Bias-corrected_estimates_of_harbour_porpoise_bycatch_in_gillnet_fisheries/23301290/2 |
Summary: | Two R scripts used for model selection and validation in the manuscript submitted to Proceedings of the Royal Society B in 2023 (“Knowing the fishery to know the bycatch: bias-corrected estimates of harbour porpoise bycatch in gillnet fisheries”). The first script selects and describes the most appropriate statistical model for this analysis and shows examples for running bias-corrected predictions on aggregated data, and the second script runs tests to validate the selected model. Scripts developed under the scope of the Horizon 2020 project, SEAwise. Copyright © 2023 Technical University of Denmark. ... |
---|