Package: USPS
Title: Unsupervised and Supervised methods of Propensity Score Adjustment for Bias
Version: 1.2-0
Date: 2009-02-10
Author: Bob Obenchain <wizbob@att.net> 
Maintainer: Bob Obenchain <wizbob@att.net>
Depends: R (>= 1.8.0), cluster, lattice, gss
Description: Unsupervised methods: identify and display the distribution of Local Treatment
  Differences (LTDs) and Local Average Treatment Effects (LATEs) across Clusters of patients
  chosen so as to be relatively well matched on patient baseline X-covariates.  Supervised
  methods: estimate and validate Propensity Scores and use them to either sub-group or smooth
  observed patient outcomes over the common support of alternative treatment cohorts. 
License: GPL (>= 2)
URL: http://www.r-project.org, http://members.iquest.net/~softrx/
Packaged: Sat Feb 14 14:10:32 2009; BobO
