TippingPoint: Enhanced Tipping Point Displays the Results of Sensitivity
Analysis for Missing Data
Using the idea of "tipping point" (proposed in
Gregory Campbell, Gene Pennello and Lilly Yue(2011)
<doi:10.1080/10543406.2011.550094>) to visualize the results
of sensitivity analysis for missing data, the package provides
a set of functions to list out all the possible combinations
of missing values in two treatment arms, calculate
corresponding estimated treatment effects and p values, and draw
a colored heat-map. It could deal with randomized
experiments with a binary outcome or a continuous outcome. In addition,
the package provides a visualized method to compare various imputation
methods by adding the rectangles or convex hulls on the basic plot.
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