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.
|Author||Stephan Ritter <email@example.com>, Alan Hubbard <firstname.lastname@example.org>, Nicholas Jewell <email@example.com>|
|Maintainer||Stephan Ritter <stephanritterRpacks@gmail.com>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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