Package: multiPIM
Version: 1.4-3
Date: 2015-02-24
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 <stephanritterRpacks@gmail.com>
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 (>= 2)
URL: http://www.jstatsoft.org/v57/i08/
Packaged: 2015-02-25 04:52:31 UTC; sritter
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-02-25 08:12:42
providing 
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