CRAN

anesrake 0.75

ANES Raking Implementation

Released Jun 15, 2016 by Josh Pasek [aut, cre]

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

Dependencies

weights 0.85 Hmisc 4.0-3

Provides a comprehensive system for selecting variables and weighting data to match the specifications of the American National Election Studies. The package includes methods for identifying discrepant variables, raking data, and assessing the effects of the raking algorithm. It also allows automated re-raking if target variables fall outside identified bounds and allows greater user specification than other available raking algorithms. A variety of simple weighted statistics that were previously in this package (version .55 and earlier) have been moved to the package 'weights.'

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>anesrake</artifactId>
    <version>0.75-b16</version>
  </dependency>
</dependencies>
<repositories>
  <repository>
    <id>bedatadriven</id>
    <name>bedatadriven public repo</name>
    <url>https://nexus.bedatadriven.com/content/groups/public/</url>
  </repository>
</repositories>

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Renjin CLI

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

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

Test Results

This package was last tested against Renjin 0.8.2523 on Nov 12, 2017.

Source

R

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Release History