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AMPLE
View on CRAN: Click
here
Download and install AMPLE package within the R console
Install from CRAN:
install.packages("AMPLE")
Install from Github:
library("remotes")
install_github("cran/AMPLE")
Install by package version:
library("remotes")
install_version("AMPLE", "1.0.2")
Attach the package and use:
library("AMPLE")
Maintained by
Finlay Scott
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-07-07
Latest Update: 2022-11-24
Description:
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.
How to cite:
Finlay Scott (2019). AMPLE: Shiny Apps to Support Capacity Building on Harvest Control Rules. R package version 1.0.2, https://cran.r-project.org/web/packages/AMPLE. Accessed 21 Nov. 2024.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for AMPLE
Functions, R codes and Examples using
the AMPLE R package
Some associated functions: MP_modules . Stock . ample . assessment . comparing_performance . constant . estimation_error . get_hcr_ip . get_hcr_op . intro_hcr . measuring_performance . stoch_module . stock_module . threshold .
Some associated R codes: ample.R . comparing_performance.R . ggplot_funcs.R . hcr_funcs.R . intro_hcr.R . measuring_performance.R . mp_module.R . pi_table.R . plot_funcs.R . reactive_r6_test.R . stochasticity_module.R . stock_class.R . stock_module.R . ui_funcs.R . utility_test_funcs.R . zzz.R . Full AMPLE package functions and examples
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