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.

Version: 1.2.0
Depends: R (≥ 3.0.0)
Imports: ggplot2 (≥ 2.0.0), RColorBrewer, reshape2
Suggests: knitr, rmarkdown, bayesSurv
Published: 2022-04-08
Author: Shengjie Zhang, Xikun Han and Victoria Liublinska
Maintainer: Xikun Han <hanxikun2017 at gmail.com>
License: GPL-2
URL: https://github.com/XikunHan/TippingPoint
NeedsCompilation: no
Materials: README NEWS
CRAN checks: TippingPoint results


Reference manual: TippingPoint.pdf
Vignettes: TippingPoint


Package source: TippingPoint_1.2.0.tar.gz
Windows binaries: r-devel: TippingPoint_1.2.0.zip, r-release: TippingPoint_1.2.0.zip, r-oldrel: TippingPoint_1.2.0.zip
macOS binaries: r-release (arm64): TippingPoint_1.2.0.tgz, r-oldrel (arm64): TippingPoint_1.2.0.tgz, r-release (x86_64): TippingPoint_1.2.0.tgz, r-oldrel (x86_64): TippingPoint_1.2.0.tgz
Old sources: TippingPoint archive


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