Package: multiPIM
Version: 1.3-1
Date: 2012-12-07
Title: Variable Importance Analysis with Population Intervention Models
Author: Stephan Ritter <sritter@berkeley.edu>, Alan Hubbard
        <hubbard@berkeley.edu>, Nicholas Jewell <jewell@berkeley.edu>
Maintainer: Stephan Ritter <sritter@berkeley.edu>
Depends: lars (>= 0.9-8), penalized, polspline, rpart
Suggests: parallel
LazyLoad: yes
Description: Performs variable importance analysis using a causal
        inference approach. This is done by fitting Population
        Intervention Models. The default is to use a Targeted Maximum
        Likelihood Estimator (TMLE). The other available estimators are
        Inverse Probability of Censoring Weighted (IPCW), Double-Robust
        IPCW (DR-IPCW), and Graphical Computation (G-COMP) estimators.
        Inference can be obtained from the influence curve (plug-in) or
        by bootstrapping.
License: GPL (>= 3)
URL: http://www.stat.berkeley.edu/users/sritter/multiPIM/
Packaged: 2012-12-14 01:54:55 UTC; sritter
Repository: CRAN
Date/Publication: 2013-01-18 06:36:14
