<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Simulate the Effect of Management Policies on Restoration
Efforts</dc:title>
  <dc:title>R package simRestore version 1.1.5</dc:title>
  <dc:description>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) &lt;doi:10.1111/1755-0998.13892&gt;. </dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: Rcpp, shiny, subplex, tibble</dc:relation>
  <dc:relation>LinkingTo: Rcpp</dc:relation>
  <dc:relation>Suggests: dplyr, ggplot2, knitr, magrittr, rmarkdown, shinyBS,
shinythemes, shinyWidgets, testthat, tidyr, egg</dc:relation>
  <dc:creator>Thijs Janzen &lt;thijsjanzen@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Thijs Janzen [aut, cre]</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2025-10-27</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=simRestore</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.simRestore</dc:identifier>
</oai_dc:dc>
