Advanced search

Log In | New Account

Dynamic Treatment Regimes

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.

Project Information

Development Status : 4 - Beta
Intended Audience : Developers
Intended Audience : End Users/Desktop
License : OSI Approved : GNU General Public License (GPL)
Natural Language : English
Programming Language : R
Topic : Regression Models

Registered: 2015-01-20 22:09
Activity Ranking: 0
View project Statistics
View list of RSS feeds available for this project.

Public Tools

Project Home Page

Mailing Lists (0 public mailing lists)

SCM Repository (Subversion: 0 updates, 122 adds)

Project Members

Project Admins

Shannon Holloway

View the 1 Member(s)

Request to join

Thanks to:

Vienna University of Economics and Business

Powered By FusionForge