Enhanced Tipping Point Displays the Results of Sensitivity Analyses for Missing Data

Using the idea of "tipping point" (proposed in Gregory Campbell, Gene Pennello and Lilly Yue(2011) ) 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 the values of missing data in two treatment arms, calculate corresponding estimated treatment effects and p values and draw a colored heat-map to visualize them. 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.


News

  • A function created based on Rcpp is not essential currently, so we plan to remove it to make it more convenient for users to install the pkg without compilation.

First build Enhanced Tipping Point Displays the Results of Sensitivity Analyses for Missing Data.

Reference manual

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install.packages("TippingPoint")

1.1.0 by Xikun Han, a year ago


Browse source code at https://github.com/cran/TippingPoint


Authors: Shengjie Zhang <zhangshengjie@mrbc-nccd.com>, Xikun Han <hanxikun2014@163.com> and Victoria Liublinska <vliublin@g.harvard.edu>


Documentation:   PDF Manual  


GPL-2 license


Imports ggplot2, RColorBrewer, bayesSurv, reshape2

Suggests knitr, rmarkdown


See at CRAN