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 |
| In views: | MissingData |
| 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 binaries: | r-release: TippingPoint_1.1.0.tgz, r-oldrel: TippingPoint_1.1.0.tgz |
| Old sources: | TippingPoint archive |
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