Package: TippingPoint
Title: Enhanced Tipping Point Displays the Results of Sensitivity
        Analysis for Missing Data
Version: 1.2.0
Author: Shengjie Zhang <zhangshengjie@mrbc-nccd.com>,
        Xikun Han <hanxikun2017@gmail.com> and
        Victoria Liublinska <vliublin@g.harvard.edu>
Maintainer: Xikun Han <hanxikun2017@gmail.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 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.
Depends: R (>= 3.0.0)
Imports: ggplot2 (>= 2.0.0), RColorBrewer, reshape2
Suggests: knitr, rmarkdown, bayesSurv
URL: https://github.com/XikunHan/TippingPoint
License: GPL-2
Encoding: UTF-8
LazyData: true
Date: 2022-04-08
RoxygenNote: 7.1.2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-04-08 14:28:01 UTC; xih628
Repository: CRAN
Date/Publication: 2022-04-08 15:12:36 UTC
Built: R 4.0.5; ; 2022-04-21 10:11:59 UTC; windows
