Generate and print summaries of "multiPIM" objects (which result from calling either the multiPIM or the multiPIMboot function). Summaries may be of type "statistical", "time" or "both" (default). Statistical summaries contain, for each exposure-outcome pair, the parameter estimate, the standard error, the test statistic, the unadjusted p-value, and the Bonferroni-adjusted p-value. Time summaries contain a breakdown by g vs. Q modeling, and (if super learning was used to generate the "multiPIM" object) by super learner candidate, of the time taken to run multiPIM.
multiPIM
(Package: multiPIM) :
Estimate Variable Importances for Multiple Exposures and Outcomes
The parameter of interest is a type of causal attributable risk. One effect measure (and a corresponding plug-in standard error) will be calculated for each exposure-outcome pair. 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. PIM stands for Population Intervention Model.
This function will run multiPIM once on the actual data, then sample with replacement from the rows of the data and run multiPIM again (with the same options) the desired number of times.
providing 
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