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) <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")'.
URL: https://netlogor.predictiveecology.org,
        https://github.com/PredictiveEcology/NetLogoR/,
        https://groups.google.com/g/netlogor
Version: 1.0.5
Date: 2023-12-21
Authors@R: c(
    person("Sarah", "Bauduin", email = "sarahbauduin@hotmail.fr",
           role = c("aut"), comment = c(ORCID = "0000-0002-3252-5894")),
    person("Eliot J B", "McIntire", email = "eliot.mcintire@canada.ca",
           role = c("aut", "cre"), comment = c(ORCID = "0000-0002-6914-8316")),
    person("Alex M", "Chubaty", email = "achubaty@for-cast.ca",
           role = c("aut"), comment = c(ORCID = "0000-0001-7146-8135")),
    person(paste("His Majesty the King in Right of Canada,",
                 "as represented by the Minister of Natural Resources Canada"),
           role = "cph")
    )
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
Additional_repositories: https://predictiveecology.r-universe.dev/
BugReports: https://github.com/PredictiveEcology/NetLogoR/issues
ByteCompile: yes
Encoding: UTF-8
Language: en-CA
License: GPL-3
RoxygenNote: 7.2.3
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'
NeedsCompilation: no
Packaged: 2023-12-21 18:25:27 UTC; emcintir
Author: Sarah Bauduin [aut] (<https://orcid.org/0000-0002-3252-5894>),
  Eliot J B McIntire [aut, cre] (<https://orcid.org/0000-0002-6914-8316>),
  Alex M Chubaty [aut] (<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>
Repository: CRAN
Date/Publication: 2024-01-08 10:30:12 UTC
Built: R 4.2.3; ; 2024-01-10 01:45:06 UTC; unix
