CRAN

misclassGLM 0.2.0

Computation of Generalized Linear Models with Misclassified Covariates Using Side Information

Released Sep 3, 2016 by Stephan Dlugosz

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

Dependencies

Matrix 1.2-14 foreach 1.4.4 MASS 7.3-50 numDeriv 2016.8-1 mlogit 0.3-0 bigmemory 4.5.33 ucminf 1.1-4

Estimates models that extend the standard GLM to take misclassification into account. The models require side information from a secondary data set on the misclassification process, i.e. some sort of misclassification probabilities conditional on some common covariates. A detailed description of the algorithm can be found in Dlugosz, Mammen and Wilke (2015) \url{http://www.zew.de/PU70410}.

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>misclassGLM</artifactId>
    <version>0.2.0-b25</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:misclassGLM')

Test Results

This package was last tested against Renjin 0.9.2644 on Jun 2, 2018.

Source

View GitHub Mirror

Release History

0.2.0