SCM

Dynamic Treatment Regimes: Project Home – R-Forge

Project description

A package implementing several modern methods to estimate Dynamic Treatment Regimes: Q-Learning, Interactive Q-Learning, and two value-search methods each using Augmented Inverse Probability Weighted Estimators or Inverse Probability Weighted Estimators.

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Vienna University of Economics and Business University of Wisconsin - Madison Powered By FusionForge