Isinglandr: Landscape Construction and Simulation for Ising Networks

A toolbox for constructing potential landscapes for Ising networks. The parameters of the networks can be directly supplied by users or estimated by the 'IsingFit' package by van Borkulo and Epskamp (2016) <https://CRAN.R-project.org/package=IsingFit> from empirical data. The Ising model's Boltzmann distribution is preserved for the potential landscape function. The landscape functions can be used for quantifying and visualizing the stability of network states, as well as visualizing the simulation process.

Version: 0.1.1
Depends: R (≥ 2.10)
Imports: dplyr, gganimate, ggplot2, glue, magrittr, methods, plotly, purrr, rlang, shiny, shinycssloaders, shinythemes, simlandr, tibble, tidyr
Suggests: gifski, IsingFit, IsingSampler, transformr
Published: 2023-07-13
Author: Jingmeng Cui ORCID iD [aut, cre], Gabriela Lunansky ORCID iD [ctb]
Maintainer: Jingmeng Cui <jingmeng.cui at outlook.com>
BugReports: https://github.com/Sciurus365/Isinglandr/issues
License: GPL (≥ 3)
URL: https://sciurus365.github.io/Isinglandr/, https://github.com/Sciurus365/Isinglandr
NeedsCompilation: no
Materials: README NEWS
CRAN checks: Isinglandr results

Documentation:

Reference manual: Isinglandr.pdf

Downloads:

Package source: Isinglandr_0.1.1.tar.gz
Windows binaries: r-devel: Isinglandr_0.1.1.zip, r-release: Isinglandr_0.1.1.zip, r-oldrel: Isinglandr_0.1.1.zip
macOS binaries: r-release (arm64): Isinglandr_0.1.1.tgz, r-oldrel (arm64): Isinglandr_0.1.1.tgz, r-release (x86_64): Isinglandr_0.1.1.tgz
Old sources: Isinglandr archive

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