{"package":"r-isingfit","ecosystem":"conda","exists":true,"latest_version":"0.4","repository":"","license":"GPL-2.0-only","description":"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.","downloads_weekly":82,"deprecated":false,"health":{"score":46},"_cache":"db_only_bot","_partial":true,"_response_ms":1,"_powered_by":"depscope.dev — bot fast path (DB-only)"}