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  "Title": "Statistical Learning Methods for Optimizing Dynamic Treatment\nRegimes",
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  "Author": "Yuan Chen, Ying Liu, Donglin Zeng, Yuanjia Wang",
  "Maintainer": "Yuan Chen <irene.yuan.chen@gmail.com>",
  "Description": "We provide a comprehensive software to estimate general\nK-stage DTRs from SMARTs with Q-learning and a variety of\noutcome-weighted learning methods. Penalizations are allowed\nfor variable selection and model regularization. With the\noutcome-weighted learning scheme, different loss functions -\nSVM hinge loss, SVM ramp loss, binomial deviance loss, and L2\nloss - are adopted to solve the weighted classification problem\nat each stage; augmentation in the outcomes is allowed to\nimprove efficiency. The estimated DTR can be easily applied to\na new sample for individualized treatment recommendations or\nDTR evaluation.",
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