XikunHan/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.

install.packages("remotes")
remotes::install_github("XikunHan/TippingPoint")