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 generalized potential landscape function by Wang et al. (2008) <doi:10.1073/pnas.0800579105> (also see Zhou & Li, 2016 <doi:10.1063/1.4943096> for further mathematical discussions). Especially suitable for psychological formal models.

Version: 0.1.2
Imports: dplyr, magrittr, purrr, tibble, ggplot2, scales, MASS, plotly, htmlwidgets, bigmemory, digest, methods, ks, gganimate, forcats, rlang
Suggests: knitr, rmarkdown, webshot
Published: 2021-11-02
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: 3. Calculate the lowest elevation path and barrier height between stable states
2. Construct the potential landscapes from simulation results
1. Dynamic models and simulations

Downloads:

Package source: simlandr_0.1.2.tar.gz
Windows binaries: r-devel: simlandr_0.1.2.zip, r-release: simlandr_0.1.2.zip, r-oldrel: simlandr_0.1.2.zip
macOS binaries: r-release (arm64): simlandr_0.1.2.tgz, r-release (x86_64): simlandr_0.1.2.tgz, r-oldrel: simlandr_0.1.2.tgz
Old sources: simlandr archive

Linking:

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