TippingPoint (1.1.0)

0 users

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.

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

License: GPL-2

Uses: bayesSurv, ggplot2, RColorBrewer, reshape2, knitr, rmarkdown

Released over 3 years ago.

1 previous version



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of TippingPoint yet. Want to be the first? Write one now.

Related packages: Amelia, CVThresh, HardyWeinberg, Hmisc, ade4, cat, eigenmodel, experiment, ltm, memisc, mice, mitools, mix, norm, pan, randomForest, sbgcop, yaImpute, zoo, SNPassoc(20 best matches, based on common tags.)

Search for TippingPoint on google, google scholar, r-help, r-devel.

Visit TippingPoint on R Graphical Manual.