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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: 0.3.1
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: 2024-01-23
DOI: 10.32614/CRAN.package.simlandr
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_0.3.1.tar.gz
Windows binaries: r-devel: simlandr_0.3.1.zip, r-release: simlandr_0.3.1.zip, r-oldrel: simlandr_0.3.1.zip
macOS binaries: r-release (arm64): simlandr_0.3.1.tgz, r-oldrel (arm64): simlandr_0.3.1.tgz, r-release (x86_64): simlandr_0.3.1.tgz, r-oldrel (x86_64): simlandr_0.3.1.tgz
Old sources: simlandr archive

Reverse dependencies:

Reverse imports: fitlandr, Isinglandr

Linking:

Please use the canonical form https://CRAN.R-project.org/package=simlandr to link to this page.

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.
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