IsingFit

Fitting Ising Models Using the ELasso Method

CRAN Package

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.

  • Version0.4
  • R version≥ 3.0.0
  • LicenseGPL-2
  • Needs compilation?No
  • Last release10/03/2023

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  • Depends1 package
  • Imports3 packages
  • Suggests1 package
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