IsingFit: Fitting Ising Models Using the ELasso Method
Version 0.3.1

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.

Getting started

Package details

AuthorClaudia van Borkulo, Sacha Epskamp, with contributions from Alexander Robitzsch
Date of publication2016-09-07 13:01:58
MaintainerClaudia van Borkulo <cvborkulo@gmail.com>
LicenseGPL-2
Version0.3.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("IsingFit")

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IsingFit documentation built on May 29, 2017, 2:51 p.m.