CaroKlatschmohn/TippingSens: Tipping-Point-Visualization of a Rubin Rosenbaum-Sensitivity Analysis
Version 0.1.0

This package builds a interactive visualisation of a Rubin-Rosenbaum-Sensitivity Analysis. A Rubin-Rosenbaum Sensitivity Analysis assumes that there is an unobserved covariate which influeces both the probability of a treatment and the probability of a (binary) outcome. To visualize we fall back on the Tipping Point Visualisation method by Liublinska but adapt it to acoomodate our four parameters, each with a specified range. Instead of a static plot, we build a R Shiny App. It is possible to switch the axes of the plot and to change the values of the parameters not on the axis. Static Snapshots can easily be downloaded.

Getting started

Package details

Maintainer
LicenseGPL-2
Version0.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("CaroKlatschmohn/TippingSens")
CaroKlatschmohn/TippingSens documentation built on Nov. 18, 2017, 6:44 a.m.