CRAN/E | GMSE

GMSE

Generalised Management Strategy Evaluation Simulator

Installation

About

Integrates game theory and ecological theory to construct social-ecological models that simulate the management of populations and stakeholder actions. These models build off of a previously developed management strategy evaluation (MSE) framework to simulate all aspects of management: population dynamics, manager observation of populations, manager decision making, and stakeholder responses to management decisions. The newly developed generalised management strategy evaluation (GMSE) framework uses genetic algorithms to mimic the decision-making process of managers and stakeholders under conditions of change, uncertainty, and conflict. Simulations can be run using gmse(), gmse_apply(), and gmse_gui() functions.

confoobio.github.io/gmse/
Bug report File report

Key Metrics

Version 1.0.0.2
R ≥ 4.0.0
Published 2022-06-16 692 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks GMSE results

Downloads

Yesterday 9 0%
Last 7 days 54 -46%
Last 30 days 235 -8%
Last 90 days 737 -21%
Last 365 days 3.179 -25%

Maintainer

Maintainer

A. Bradley Duthie

brad.duthie@gmail.com

Authors

A. Bradley Duthie

aut / cre

Adrian Bach

aut

Jeremy Cusack

ctb

Isabel Jones

ctb

Jeroen Minderman

aut

Erlend Nilsen

ctb

Ochoa Gabriela

aut

Rocio Pozo

ctb

Sarobidy Rakotonarivo

ctb

Bram Van Moorter

ctb

Nils Bunnefeld

aut / fnd

Material

README
NEWS
Reference manual
Package source

Vignettes

The genetic algorithm
Use of gmse_apply
Example case study
Advanced options
Fisheries integration
Replicate simulations
GMSE data structures
Adaptive timing of investment
Simulated annealing
GMSE introduction

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

GMSE archive

Depends

R ≥ 4.0.0

Imports

grDevices ≥ 4.0.0
graphics ≥ 4.0.0
stats ≥ 4.0.0
shiny
shinydashboard
shinyjs
shinycssloaders

Suggests

knitr
rmarkdown
testthat
R.rsp