Package: NetLogoR
Title: Build and Run Spatially Explicit Agent-Based Models
Description: Build and run spatially explicit agent-based models using
        only the R platform. 'NetLogoR' follows the same framework as
        the 'NetLogo' software (Wilensky (1999)
        <https://www.netlogo.org>) 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
        <https://ccl.northwestern.edu/netlogo/models/Ants>) and
        Wolf-Sheep-Predation
        (<https://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://docs.netlogo.org/programming.html>) and a dictionary
        of 'NetLogo' primitives
        (<https://docs.netlogo.org/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>).
URL: https://netlogor.predictiveecology.org,
        https://github.com/PredictiveEcology/NetLogoR/,
        https://groups.google.com/g/netlogor
Version: 1.0.6
Date: 2025-09-02
Authors@R: c(
    person("Sarah", "Bauduin", , "sarahbauduin@hotmail.fr", role = "aut",
           comment = c(ORCID = "0000-0002-3252-5894")),
    person("Eliot J B", "McIntire", , "eliot.mcintire@canada.ca", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-6914-8316")),
    person("Alex M", "Chubaty", , "achubaty@for-cast.ca", role = "aut",
           comment = c(ORCID = "0000-0001-7146-8135")),
    person("His Majesty the King in Right of Canada, as represented by the Minister of Natural Resources Canada", role = "cph")
  )
Depends: R (>= 4.3)
Imports: data.table, grDevices, methods, quickPlot (>= 1.0.2), stats,
        terra, utils
Suggests: CircStats, covr, knitr, microbenchmark, raster, rmarkdown,
        sf, sp, SpaDES.core (>= 2.0.3), SpaDES.tools (>= 2.0.5),
        testthat, withr
BugReports: https://github.com/PredictiveEcology/NetLogoR/issues
ByteCompile: yes
Encoding: UTF-8
Language: en-CA
License: GPL-3
RoxygenNote: 7.3.2
VignetteBuilder: knitr, rmarkdown
Collate: 'Agent-classes.R' 'NetLogoR-package.R'
        'worldNLR-classes-methods.R' 'helpers.R'
        'agentMatrix-Class-methods.R' 'agentset-functions.R'
        'function-arguments.R' 'patch-functions.R' 'plot.R'
        'quickPlot.R' 'spades-functions.R' 'turtle-functions.R'
        'world-functions.R'
Roxygen: list(markdown = TRUE)
Config/pak/sysreqs: libgdal-dev gdal-bin libgeos-dev libproj-dev
        libsqlite3-dev
Repository: https://predictiveecology.r-universe.dev
Date/Publication: 2025-09-02 20:55:07 UTC
RemoteUrl: https://github.com/PredictiveEcology/NetLogoR
RemoteRef: development
RemoteSha: 18ed0f9ac3ea2dc5d4a6a79805d5b4b3175b0057
NeedsCompilation: no
Packaged: 2026-06-01 07:45:49 UTC; root
Author: Sarah Bauduin [aut] (ORCID: <https://orcid.org/0000-0002-3252-5894>),
  Eliot J B McIntire [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-6914-8316>),
  Alex M Chubaty [aut] (ORCID: <https://orcid.org/0000-0001-7146-8135>),
  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@canada.ca>