{ "_id": "6a229588cd65a98ecbd566de", "Package": "Bestie", "Type": "Package", "Title": "Bayesian Estimation of Intervention Effects", "Version": "0.1.5", "Author": "Jack Kuipers [aut,cre] and Giusi Moffa [aut]", "Maintainer": "Jack Kuipers ", "Description": "An implementation of intervention effect estimation for\nDAGs (directed acyclic graphs) learned from binary or\ncontinuous data. First, parameters are estimated or sampled for\nthe DAG and then interventions on each node (variable) are\npropagated through the network (do-calculus). 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