A framework for predicting daily fishery outcomes from openers in the lower Kuskokwim River subsistence salmon fishery. Fishery outcomes include drift boat trips/day, salmon catch/trip, and % species composition, and these are treated as response variables in linear regression models with predictions made via AIC-based model-averaging. Harvest predictions by species are then obtained by multiplying predictions of the response variables. Leave-one-out cross-validation is used to assess predictive performance. The principle user-facing feature is an interactive web application, which is a user-friendly interface to the predictive models and data and contains much information about how predictions are made and how well they perform.
Package details |
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Maintainer | |
License | use_mit_license() |
Version | 2023.3 |
URL | https://github.com/bstaton1/KuskoHarvPred |
Package repository | View on GitHub |
Installation |
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