{ "_id": "6a1c0c8a1d7bb097a0a2d788", "Package": "glinternet", "Type": "Package", "Title": "Learning Interactions via Hierarchical Group-Lasso\nRegularization", "Version": "1.0.12", "Date": "2021-09-01", "Author": "Michael Lim, Trevor Hastie", "Maintainer": "Michael Lim ", "Description": "Group-Lasso INTERaction-NET. Fits linear\npairwise-interaction models that satisfy strong hierarchy: if\nan interaction coefficient is estimated to be nonzero, then its\ntwo associated main effects also have nonzero estimated\ncoefficients. Accommodates categorical variables (factors) with\narbitrary numbers of levels, continuous variables, and\ncombinations thereof. Implements the machinery described in the\npaper \"Learning interactions via hierarchical group-lasso\nregularization\" (JCGS 2015, Volume 24, Issue 3). 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