CRAN

TippingPoint 1.1.0

Enhanced Tipping Point Displays the Results of Sensitivity Analyses for Missing Data

Released May 2, 2016 by Xikun Han

This package can be loaded by Renjin but all tests failed.

Dependencies

ggplot2 3.0.0 RColorBrewer 1.1-2 bayesSurv 3.2 reshape2 1.4.3

Using the idea of "tipping point" (proposed in Gregory Campbell, Gene Pennello and Lilly Yue(2011) ) 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.

Installation

Maven

This package can be included as a dependency from a Java or Scala project by including the following your project's pom.xml file. Read more about embedding Renjin in JVM-based projects.

<dependencies>
  <dependency>
    <groupId>org.renjin.cran</groupId>
    <artifactId>TippingPoint</artifactId>
    <version>1.1.0-b26</version>
  </dependency>
</dependencies>
<repositories>
  <repository>
    <id>bedatadriven</id>
    <name>bedatadriven public repo</name>
    <url>https://nexus.bedatadriven.com/content/groups/public/</url>
  </repository>
</repositories>

View build log

Renjin CLI

If you're using Renjin from the command line, you load this library by invoking:

library('org.renjin.cran:TippingPoint')

Test Results

This package was last tested against Renjin 0.9.2689 on Aug 26, 2018.

Source

View GitHub Mirror

Release History

1.1.0