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simRestore  

Simulate the Effect of Management Policies on Restoration Efforts
View on CRAN: Click here


Download and install simRestore package within the R console
Install from CRAN:
install.packages("simRestore")

Install from Github:
library("remotes")
install_github("cran/simRestore")

Install by package version:
library("remotes")
install_version("simRestore", "1.1.5")



Attach the package and use:
library("simRestore")
Maintained by
Thijs Janzen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-10-31
Latest Update: 2023-11-17
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) <doi:10.1111/1755-0998.13892>.
How to cite:
Thijs Janzen (2023). simRestore: Simulate the Effect of Management Policies on Restoration Efforts. R package version 1.1.5, https://cran.r-project.org/web/packages/simRestore. Accessed 27 Jun. 2026.
Previous versions and publish date:
1.1.1 (2023-10-31 16:50), 1.1.4 (2023-11-17 10:50)
Other packages that cited simRestore R package
View simRestore citation profile
Other R packages that simRestore depends, imports, suggests or enhances
Complete documentation for simRestore
Functions, R codes and Examples using the simRestore R package
Some associated functions: default_params_doc . optimize_adaptive . optimize_static . run_shiny_app . simulate_policy . 
Some associated R codes: RcppExports.R . default_params_doc.R . optimize_adaptive.R . optimize_static.R . run_shiny_app.R . simulate_policy.R . util.R .  Full simRestore package functions and examples
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