_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
r-simlandr 0.4.0
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.2.1 r-sim-diffproc@4.9 r-rlang@1.1.6 r-purrr@1.0.4 r-progress@1.2.3 r-plotly@4.10.4 r-mass@7.3-65 r-magrittr@2.0.3 r-lifecycle@1.0.4 r-ks@1.15.1 r-htmlwidgets@1.6.4 r-ggplot2@3.5.2 r-gganimate@1.0.9 r-furrr@0.3.1 r-forcats@1.0.0 r-dplyr@1.1.4 r-digest@0.6.37 r-coda@0.19-4.1 r-bigmemory@4.6.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://sciurus365.github.io/simlandr/
Licenses: GPL 3+
Synopsis: Simulation-Based Landscape Construction for Dynamical Systems
Description:

This package provides 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.

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