simlandr: Simulation-Based Landscape Construction for Dynamical Systems

A toolbox for constructing potential landscapes for dynamical systems using Monte Carlo simulation. The method is based on the potential landscape definition by Wang et al. (2008) <doi:10.1073/pnas.0800579105> (also see Zhou & Li, 2016 <doi:10.1063/1.4943096> for further mathematical discussions) and can be used for a large variety of models.

Version: 0.3.0
Imports: bigmemory, digest, dplyr, forcats, gganimate, ggplot2, grDevices, htmlwidgets, ks, lifecycle, magrittr, MASS, methods, plotly, progress, purrr, rlang, tibble
Suggests: coda, knitr, rmarkdown, webshot
Published: 2022-11-15
Author: Jingmeng Cui ORCID iD [aut, cre]
Maintainer: Jingmeng Cui <jingmeng.cui at outlook.com>
BugReports: https://github.com/Sciurus365/simlandr/issues
License: GPL (≥ 3)
URL: https://sciurus365.github.io/simlandr/, https://github.com/Sciurus365/simlandr
NeedsCompilation: no
Materials: README NEWS
CRAN checks: simlandr results

Documentation:

Reference manual: simlandr.pdf
Vignettes: simlandr: Simulation-Based Landscape Construction for Dynamical Systems

Downloads:

Package source: simlandr_0.3.0.tar.gz
Windows binaries: r-devel: simlandr_0.3.0.zip, r-release: simlandr_0.2.1.zip, r-oldrel: simlandr_0.3.0.zip
macOS binaries: r-release (arm64): simlandr_0.3.0.tgz, r-oldrel (arm64): simlandr_0.3.0.tgz, r-release (x86_64): simlandr_0.3.0.tgz, r-oldrel (x86_64): simlandr_0.3.0.tgz
Old sources: simlandr archive

Linking:

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