TippingPoint: 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) <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 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.

Version: 1.1.0
Depends: R (≥ 3.0.0)
Imports: ggplot2 (≥ 2.0.0), RColorBrewer, bayesSurv, reshape2
Suggests: knitr, rmarkdown
Published: 2016-05-02
Author: Shengjie Zhang, Xikun Han and Victoria Liublinska
Maintainer: Xikun Han <hanxikun2014 at 163.com>
License: GPL-2
NeedsCompilation: no
Materials: NEWS
CRAN checks: TippingPoint results


Reference manual: TippingPoint.pdf
Vignettes: TippingPoint
Package source: TippingPoint_1.1.0.tar.gz
Windows binaries: r-devel: TippingPoint_1.1.0.zip, r-release: TippingPoint_1.1.0.zip, r-oldrel: TippingPoint_1.1.0.zip
OS X Mavericks binaries: r-release: TippingPoint_1.1.0.tgz, r-oldrel: TippingPoint_1.1.0.tgz
Old sources: TippingPoint archive


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