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IsingFit
View on CRAN: Click
here
Download and install IsingFit package within the R console
Install from CRAN:
install.packages("IsingFit")
Install from Github:
library("remotes")
install_github("cran/IsingFit")
Install by package version:
library("remotes")
install_version("IsingFit", "0.4")
Attach the package and use:
library("IsingFit")
Maintained by
Sacha Epskamp
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-02-17
Latest Update: 2023-10-03
Description:
This network estimation procedure eLasso, which is based on the Ising model, combines l1-regularized logistic regression with model selection based on the Extended Bayesian Information Criterion (EBIC). EBIC is a fit measure that identifies relevant relationships between variables. The resulting network consists of variables as nodes and relevant relationships as edges. Can deal with binary data.
How to cite:
Sacha Epskamp (2014). IsingFit: Fitting Ising Models Using the ELasso Method. R package version 0.4, https://cran.r-project.org/web/packages/IsingFit. Accessed 03 Feb. 2025.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for IsingFit
Functions, R codes and Examples using
the IsingFit R package
Some associated functions: methods .
Some associated R codes: ComparableNetworks.R . IsingFit.R . plot.IsingFit.R . print.IsingFit.R . summary.IsingFit.R . Full IsingFit package functions and examples
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