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IsingFit

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.

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Version

Install

install.packages('IsingFit')

Monthly Downloads

2,261

Version

0.4

License

GPL-2

Maintainer

Last Published

October 3rd, 2023

Functions in IsingFit (0.4)

IsingFit-package

Network estimation using the eLasso method
IsingFit

Network estimation using the eLasso method
Ising-methods

Methods for IsingFit objects