multiPIM (1.4-3)

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Variable Importance Analysis with Population Intervention Models.

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.

Maintainer: Stephan Ritter
Author(s): Stephan Ritter <>, Alan Hubbard <>, Nicholas Jewell <>

License: GPL (>= 2)

Uses: Does not use any package

Released almost 5 years ago.

6 previous versions



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