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.
||R (≥ 3.0.0)
||qgraph, Matrix, glmnet
||Claudia van Borkulo, Sacha Epskamp, with contributions from Alexander Robitzsch
||Claudia van Borkulo <cvborkulo at gmail.com>
||see file COPYRIGHTS