Package: IsingFit 0.4.1

IsingFit: Fitting Ising Models Using the ELasso Method

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.

Authors:van Borkulo Claudia [aut], Sacha Epskamp [aut, cre], Alexander Robitzsch [ctb], Mihai Alexandru Constantin [ctb], Jesse Boot [ctb]