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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.
Package details |
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Author | Stephan Ritter <sritter@berkeley.edu>, Alan Hubbard <hubbard@berkeley.edu>, Nicholas Jewell <jewell@berkeley.edu> |
Maintainer | Stephan Ritter <stephanritterRpacks@gmail.com> |
License | GPL (>= 2) |
Version | 1.4-3 |
URL | http://www.jstatsoft.org/v57/i08/ |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
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