The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

NetLogoR: Build and Run Spatially Explicit Agent-Based Models

Build and run spatially explicit agent-based models using only the R platform. 'NetLogoR' follows the same framework as the 'NetLogo' software (Wilensky (1999) <http://ccl.northwestern.edu/netlogo/>) and is a translation in R of the structure and functions of 'NetLogo'. 'NetLogoR' provides new R classes to define model agents and functions to implement spatially explicit agent-based models in the R environment. This package allows benefiting of the fast and easy coding phase from the highly developed 'NetLogo' framework, coupled with the versatility, power and massive resources of the R software. Examples of two models from the NetLogo software repository (Ants <http://ccl.northwestern.edu/netlogo/models/Ants>) and Wolf-Sheep-Predation (<http://ccl.northwestern.edu/netlogo/models/WolfSheepPredation>), and a third, Butterfly, from Railsback and Grimm (2012) <https://www.railsback-grimm-abm-book.com/>, all written using 'NetLogoR' are available. The 'NetLogo' code of the original version of these models is provided alongside. A programming guide inspired from the 'NetLogo' Programming Guide (<https://ccl.northwestern.edu/netlogo/docs/programming.html>) and a dictionary of 'NetLogo' primitives (<https://ccl.northwestern.edu/netlogo/docs/dictionary.html>) equivalences are also available. NOTE: To increment 'time', these functions can use a for loop or can be integrated with a discrete event simulator, such as 'SpaDES' (<https://cran.r-project.org/package=SpaDES>). The suggested package 'fastshp' can be installed with 'install.packages("fastshp", repos = ("<https://rforge.net>"), type = "source")'.

Version: 1.0.5
Depends: R (≥ 4.1)
Imports: data.table, grDevices, methods, quickPlot (≥ 1.0.2), stats, terra, utils
Suggests: CircStats, covr, fastshp, knitr, microbenchmark, raster, rmarkdown, sf, sp, SpaDES.core (≥ 2.0.3), SpaDES.tools (≥ 2.0.5), testthat, withr
Published: 2024-01-08
DOI: 10.32614/CRAN.package.NetLogoR
Author: Sarah Bauduin ORCID iD [aut], Eliot J B McIntire ORCID iD [aut, cre], Alex M Chubaty ORCID iD [aut], His Majesty the King in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Eliot J B McIntire <eliot.mcintire at canada.ca>
BugReports: https://github.com/PredictiveEcology/NetLogoR/issues
License: GPL-3
URL: https://netlogor.predictiveecology.org, https://github.com/PredictiveEcology/NetLogoR/, https://groups.google.com/g/netlogor
NeedsCompilation: no
Additional_repositories: https://predictiveecology.r-universe.dev/
Language: en-CA
Citation: NetLogoR citation info
Materials: README NEWS
CRAN checks: NetLogoR results

Documentation:

Reference manual: NetLogoR.pdf
Vignettes: NetLogoR Dictionary
Programming Guide 'NetLogoR'

Downloads:

Package source: NetLogoR_1.0.5.tar.gz
Windows binaries: r-devel: NetLogoR_1.0.5.zip, r-release: NetLogoR_1.0.5.zip, r-oldrel: NetLogoR_1.0.5.zip
macOS binaries: r-release (arm64): NetLogoR_1.0.5.tgz, r-oldrel (arm64): NetLogoR_1.0.5.tgz, r-release (x86_64): NetLogoR_1.0.5.tgz, r-oldrel (x86_64): NetLogoR_1.0.5.tgz
Old sources: NetLogoR archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=NetLogoR to link to this page.

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.
Health stats visible at Monitor.