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.
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curl https://depscope.dev/api/check/conda/r-isingfitFirst published · 2021-07-12 19:41:34.743000+00:00
Last updated · 2025-09-24 17:37:35.748000+00:00