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abmR: Agent-Based Models in R

Supplies tools for running agent-based models (ABM) in R, as discussed in Gochanour et al. (2022) <doi:10.1111/2041-210X.14014>. The package contains two movement functions, each of which is based on the Ornstein-Uhlenbeck (OU) model (Ornstein & Uhlenbeck, 1930) <doi:10.1103/PhysRev.36.823>. It also contains several visualization and data summarization functions to facilitate the presentation of simulation results.

Version: 1.0.10
Depends: R (≥ 3.5)
Imports: sp, table1, googledrive, swfscMisc, geosphere, kableExtra, gtsummary, ggplot2, gstat, purrr, sf, tmap, raster, utils, stats, methods, rnaturalearth, maps
Suggests: jpeg, knitr
Published: 2023-08-27
DOI: 10.32614/CRAN.package.abmR
Author: Benjamin Gochanour [aut, cre], Javier Fernandez-Lopez [aut], Andrea Contina [aut]
Maintainer: Benjamin Gochanour <ben.gochanour at gmail.com>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README
CRAN checks: abmR results

Documentation:

Reference manual: abmR.pdf

Downloads:

Package source: abmR_1.0.10.tar.gz
Windows binaries: r-devel: abmR_1.0.10.zip, r-release: abmR_1.0.10.zip, r-oldrel: abmR_1.0.10.zip
macOS binaries: r-release (arm64): abmR_1.0.10.tgz, r-oldrel (arm64): abmR_1.0.10.tgz, r-release (x86_64): abmR_1.0.10.tgz, r-oldrel (x86_64): abmR_1.0.10.tgz
Old sources: abmR archive

Linking:

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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.