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.">

simlandr: Simulation-Based Landscape Construction for Dynamical Systems (original) (raw)

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: 0.4.0
Depends: R (≥ 4.1.0)
Imports: bigmemory, coda, digest, dplyr, forcats, furrr, gganimate, ggplot2, grDevices, htmlwidgets, ks, lifecycle, magrittr, MASS, methods, plotly, progress, purrr, rlang, Sim.DiffProc, tibble, tidyr
Suggests: knitr, rmarkdown, webshot
Published: 2025-02-12
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
In views: Psychometrics
CRAN checks: simlandr results

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