CRAN

aggrisk 1.0

Estimate individual level risk using individual case data and spatially aggregated control data

Released Oct 29, 2012 by Michelle Stanton, Yongtao Guan

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

This package uses weighted estimating equations to estimate regression parameters in the intensity function of an inhomogeneous spatial Poisson process, when information on risk-factors is available at the individual level for cases, but only at a spatially aggregated level for the population at risk. Data-driven methods are used to select the weights used in the estimating equations. A formal test is available to detect non-Poisson behaviour in the underlying point process.

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>aggrisk</artifactId>
    <version>1.0-b245</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:aggrisk')

Test Results

This package was last tested against Renjin 0.8.2346 on Mar 18, 2017.

Source

R

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Release History