IsingFit (0.3.1)

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.

Maintainer: Claudia van Borkulo
Author(s): Claudia van Borkulo, Sacha Epskamp, with contributions from Alexander Robitzsch

License: GPL-2

Uses: glmnet, Matrix, qgraph, IsingSampler
Reverse suggests: sirt

Released almost 3 years ago.