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TippingPoint  

Enhanced Tipping Point Displays the Results of Sensitivity Analysis for Missing Data
View on CRAN: Click here


Download and install TippingPoint package within the R console
Install from CRAN:
install.packages("TippingPoint")

Install from Github:
library("remotes")
install_github("cran/TippingPoint")

Install by package version:
library("remotes")
install_version("TippingPoint", "1.2.0")



Attach the package and use:
library("TippingPoint")
Maintained by
Xikun Han
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-05-02
Latest Update: 2022-12-19
Description:
Using the idea of tipping point proposed inGregory Campbell Gene Pennello and Lilly Yue2011DOI10.108010543406.2011.550094 to visualize the resultsof sensitivity analysis for missing data the package providesa set of functions to list out all the possible combinationsof missing values in two treatment arms calculatecorresponding estimated treatment effects and p values and drawa colored heat-map. It could deal with randomizedexperiments with a binary outcome or a continuous outcome. In additionthe package provides a visualized method to compare various imputationmethods by adding the rectangles or convex hulls on the basic plot.
How to cite:
Xikun Han (2016). TippingPoint: Enhanced Tipping Point Displays the Results of Sensitivity Analysis for Missing Data. R package version 1.2.0, https://cran.r-project.org/web/packages/TippingPoint. Accessed 03 Dec. 2024.
Previous versions and publish date:
1.0.0 (2016-05-02 06:24), 1.1.0 (2016-05-02 14:18), 1.2.0 (2022-04-08 17:12)
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Functions, R codes and Examples using the TippingPoint R package
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