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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 |
| 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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