simlandr: Simulation-Based Landscape Construction for Dynamical Systems

A set of tools for constructing potential landscapes for dynamical systems using Monte-Carlo simulation. Especially suitable for psychological formal models.

Version:	0.1.1
Imports:	dplyr, magrittr, purrr, tibble, ggplot2, scales, MASS, plotly, htmlwidgets, bigmemory, digest, methods, ks, gganimate, forcats, rlang
Suggests:	knitr, rmarkdown
Published:	2021-08-16
Author:	Jingmeng Cui [aut, cre]
Maintainer:	Jingmeng Cui <jingmeng.cui at outlook.com>
BugReports:	https://github.com/Sciurus365/simlandr/issues
License:	GPL (≥ 3)
URL:	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_0.1.1.tar.gz
Windows binaries:	r-devel: simlandr_0.1.1.zip, r-release: simlandr_0.1.1.zip, r-oldrel: simlandr_0.1.1.zip
macOS binaries:	r-release (arm64): simlandr_0.1.1.tgz, r-release (x86_64): simlandr_0.1.1.tgz, r-oldrel: simlandr_0.1.1.tgz

Linking:

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