nlrx: Setup, Run and Analyze 'NetLogo' Model Simulations from 'R' via 'XML'

Setup, run and analyze 'NetLogo' (<https://ccl.northwestern.edu/netlogo/>) model simulations in 'R'. 'nlrx' experiments use a similar structure as 'NetLogos' Behavior Space experiments. However, 'nlrx' offers more flexibility and additional tools for running and analyzing complex simulation designs and sensitivity analyses. The user defines all information that is needed in an intuitive framework, using class objects. Experiments are submitted from 'R' to 'NetLogo' via 'XML' files that are dynamically written, based on specifications defined by the user. By nesting model calls in future environments, large simulation design with many runs can be executed in parallel. This also enables simulating 'NetLogo' experiments on remote high performance computing machines. In order to use this package, 'Java' and 'NetLogo' (>= 5.3.1) need to be available on the executing system.

Version: 0.4.0
Depends: R (≥ 3.3)
Imports: XML, lhs, sensitivity, dplyr, readr, purrr, furrr, magrittr, stats, utils, GenSA, genalg, raster, rstudioapi, sf, tidyr, methods, tibble, crayon, igraph, stringr, EasyABC
Suggests: testthat, knitr, rmarkdown, covr
Published: 2019-12-03
Author: Jan Salecker ORCID iD [aut, cre], Marco Sciaini ORCID iD [aut], Marina Papadopoulou [rev] (Marina reviewed the package for ropensci, see <https://github.com/ropensci/software-review/issues/262>)
Maintainer: Jan Salecker <jsaleck at gwdg.de>
BugReports: https://github.com/ropensci/nlrx/issues/
License: GPL-3
URL: https://github.com/ropensci/nlrx/
NeedsCompilation: no
SystemRequirements: NetLogo (>= 5.3.1), Java (JDK 1.8), pandoc, OpenSSL, udunits-2, PROJ.4, GEOS, GDAL, libxml2
Citation: nlrx citation info
Materials: README NEWS
CRAN checks: nlrx results

Downloads:

Reference manual: nlrx.pdf
Vignettes: abc
Advanced configuration
Get Started
Optimization
Sensitivity Analysis
Simdesign examples
Package source: nlrx_0.4.0.tar.gz
Windows binaries: r-devel: nlrx_0.4.0.zip, r-devel-gcc8: nlrx_0.3.0.zip, r-release: nlrx_0.4.0.zip, r-oldrel: nlrx_0.3.0.zip
OS X binaries: r-release: nlrx_0.4.0.tgz, r-oldrel: nlrx_0.4.0.tgz
Old sources: nlrx archive

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