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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 |
| DOI: |
10.32614/CRAN.package.Isinglandr |
| Author: |
Jingmeng Cui 
[aut, cre],
Gabriela Lunansky
[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:
Downloads:
Linking:
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https://CRAN.R-project.org/package=Isinglandr
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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