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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 |
Reference manual: | simRestore.pdf |
Vignettes: |
demonstration |
Package source: | simRestore_1.1.4.tar.gz |
Windows binaries: | r-devel: simRestore_1.1.4.zip, r-release: simRestore_1.1.4.zip, r-oldrel: simRestore_1.1.4.zip |
macOS binaries: | r-release (arm64): simRestore_1.1.4.tgz, r-oldrel (arm64): simRestore_1.1.4.tgz, r-release (x86_64): simRestore_1.1.4.tgz, r-oldrel (x86_64): simRestore_1.1.4.tgz |
Old sources: | simRestore archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.