Three Shiny apps are provided that introduce Harvest Control Rules (HCR) for fisheries management. 'Introduction to HCRs' provides a simple overview to how HCRs work. Users are able to select their own HCR and step through its performance, year by year. Biological variability and estimation uncertainty are introduced. 'Measuring performance' builds on the previous app and introduces the idea of using performance indicators to measure HCR performance. 'Comparing performance' allows multiple HCRs to be created and tested, and their performance compared so that the preferred HCR can be selected.
Version: 1.0.2 Depends: shiny (≥ 1.7.3) Imports: markdown, graphics, grDevices, RColorBrewer, stats, R6 (≥ 2.5.1), scales (≥ 1.2.1), shinyjs (≥ 2.1.0), ggplot2 (≥ 3.4.0), shinyscreenshot (≥ 0.2.0) Suggests: knitr, rmarkdown, bookdown, testthat (≥ 3.1.5) Published: 2023-09-29 DOI: 10.32614/CRAN.package.AMPLE Author: Finlay Scott [aut, cre], Pacific Community (SPC) [cph] Maintainer: Finlay Scott <finlays at spc.int> License: GPL (≥ 3) URL: https://github.com/PacificCommunity/ofp-sam-ample NeedsCompilation: no Materials: README NEWS CRAN checks: AMPLE results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=AMPLE to link to this page.
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