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.

Install the latest version of this package by entering the following in R:
install.packages("TippingPoint")
AuthorShengjie Zhang <zhangshengjie@mrbc-nccd.com>, Xikun Han <hanxikun2014@163.com> and Victoria Liublinska <vliublin@g.harvard.edu>
Date of publication2016-05-02 14:18:45
MaintainerXikun Han <hanxikun2014@163.com>
LicenseGPL-2
Version1.1.0

View on CRAN

Files

inst
inst/doc
inst/doc/TippingPoint.html
inst/doc/TippingPoint.Rmd
inst/doc/TippingPoint.R
NAMESPACE
NEWS
data
data/tippingdata.rda
data/imputedata.rda
R
R/utilities.R R/data.R R/TippingPoint.R
vignettes
vignettes/TippingPoint.Rmd
vignettes/TippingPoint.css
MD5
build
build/vignette.rds
DESCRIPTION
man
man/TippingPoint.Rd man/TippingPoint.formula.Rd man/TippingPoint.default.Rd man/tippingdata.Rd man/imputedata.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

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