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...
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| Format: | Article in Journal/Newspaper |
| Language: | unknown |
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Technical University of Denmark
2024
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| Online Access: | https://dx.doi.org/10.11583/dtu.23301290 https://data.dtu.dk/articles/software/Bias-corrected_estimates_of_harbour_porpoise_bycatch_in_gillnet_fisheries/23301290 |
| 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. ... |
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