Package: TippingPoint
Title: Enhanced Tipping Point Displays the Results of Sensitivity
        Analyses for Missing Data
Version: 1.1.0
Author: Shengjie Zhang <zhangshengjie@mrbc-nccd.com>,
        Xikun Han <hanxikun2014@163.com> and
        Victoria Liublinska <vliublin@g.harvard.edu>
Maintainer: Xikun Han <hanxikun2014@163.com>
Description: 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.
Depends: R (>= 3.0.0)
Imports: ggplot2 (>= 2.0.0), RColorBrewer, bayesSurv, reshape2
Suggests: knitr, rmarkdown
License: GPL-2
LazyData: true
Date: 2016-05-01
RoxygenNote: 5.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-05-02 06:19:31 UTC; 1159225156
Repository: CRAN
Date/Publication: 2016-05-02 14:18:45
Built: R 3.3.3; ; 2018-04-22 17:16:42 UTC; windows
