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: 0.2.0
Imports: dplyr, magrittr, purrr, tibble, ggplot2, scales, MASS, plotly, htmlwidgets, bigmemory, digest, methods, ks, gganimate, forcats, rlang, lifecycle, progress
Suggests: knitr, rmarkdown, webshot
Published: 2022-03-16
Author: Jingmeng Cui ORCID iD [aut, cre]
Maintainer: Jingmeng Cui <jingmeng.cui at>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README NEWS
CRAN checks: simlandr results


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


Package source: simlandr_0.2.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): simlandr_0.2.0.tgz, r-release (x86_64): simlandr_0.2.0.tgz, r-oldrel: simlandr_0.2.0.tgz
Old sources: simlandr archive


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