Simulation methods to study the effect of management policies on efforts to restore populations back to their original genetic composition. Allows for single-scenario simulation and for optimization of specific chosen scenarios. Further information can be found in Hernandez, Janzen and Lavretsky (2023) <doi:10.1111/1755-0998.13892>.
Version: 1.1.4 Imports: Rcpp, shiny, subplex, tibble LinkingTo: Rcpp Suggests: dplyr, ggplot2, knitr, magrittr, rmarkdown, shinyBS, shinythemes, shinyWidgets, testthat, tidyr, egg Published: 2023-11-17 DOI: 10.32614/CRAN.package.simRestore Author: Thijs Janzen [aut, cre] Maintainer: Thijs Janzen <thijsjanzen at gmail.com> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] NeedsCompilation: yes Materials: README CRAN checks: simRestore results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=simRestore to link to this page.
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