CRAN

tipr 0.1.1

Tipping Point Analyses

Released Nov 28, 2017 by Lucy D'Agostino McGowan

This package is available for Renjin and there are no known compatibility issues.

Dependencies

purrr 0.2.4 tibble 1.4.2 broom 0.4.4

The strength of evidence provided by epidemiological and observational studies is inherently limited by the potential for unmeasured confounding. We focus on three key quantities: the observed bound of the confidence interval closest to the null, a plausible residual effect size for an unmeasured continuous or binary confounder, and a realistic mean difference or prevalence difference for this hypothetical confounder. Building on the methods put forth by Lin, Psaty, & Kronmal (1998) , we can use these quantities to assess how an unmeasured confounder may tip our result to insignificance, rendering the study inconclusive.

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>tipr</artifactId>
    <version>0.1.1-b6</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:tipr')

Test Results

This package was last tested against Renjin 0.9.2625 on Apr 9, 2018.

Source

R

View GitHub Mirror

Release History