IsingSampler: Sampling Methods and Distribution Functions for the Ising Model

Sample states from the Ising model and compute the probability of states. Sampling can be done for any number of nodes, but due to the intractibility of the Ising model the distribution can only be computed up to ~10 nodes.

Version:	0.2.4
Depends:	Rcpp (≥ 0.10.4), R (≥ 3.0.0)
Imports:	plyr, magrittr, nnet, dplyr
LinkingTo:	Rcpp
Published:	2025-05-13
DOI:	10.32614/CRAN.package.IsingSampler
Author:	Sacha Epskamp [aut, cre], Jesse Boot [ctb]
Maintainer:	Sacha Epskamp <mail at sachaepskamp.com>
License:	GPL-2
Copyright:	see file COPYRIGHTS
URL:	https://github.com/SachaEpskamp/IsingSampler
NeedsCompilation:	yes
Materials:	NEWS
In views:	Psychometrics
CRAN checks:	IsingSampler results

Documentation:

Reference manual:

IsingSampler.html , IsingSampler.pdf

Downloads:

Package source:	IsingSampler_0.2.4.tar.gz
Windows binaries:	r-devel: IsingSampler_0.2.4.zip, r-release: IsingSampler_0.2.4.zip, r-oldrel: IsingSampler_0.2.4.zip
macOS binaries:	r-release (arm64): IsingSampler_0.2.4.tgz, r-oldrel (arm64): IsingSampler_0.2.4.tgz, r-release (x86_64): IsingSampler_0.2.4.tgz, r-oldrel (x86_64): IsingSampler_0.2.4.tgz
Old sources:	IsingSampler archive

Reverse dependencies:

Reverse imports:	bootnet, psychonetrics
Reverse suggests:	IsingFit, Isinglandr, NetworkComparisonTest, rIsing

Linking:

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