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  "Description": "Implements the methodology of Huling, Smith, and Chen\n(2020) <doi:10.1080/01621459.2020.1801449>, which allows for\nsubgroup identification for semi-continuous outcomes by\nestimating individualized treatment rules. It uses a two-part\nmodeling framework to handle semi-continuous data by separately\nmodeling the positive part of the outcome and an indicator of\nwhether each outcome is positive, but still results in a single\ntreatment rule. High dimensional data is handled with a\ncooperative lasso penalty, which encourages the coefficients in\nthe two models to have the same sign.",
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