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 In views: Psychometrics CRAN checks: Isinglandr results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=Isinglandr to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4