CRAN

Ake 1.0

Associated Kernel Estimations

Released Mar 30, 2015 by W. E. Wansouwé

Continuous and discrete (count or categorical) estimation of density, probability mass function (p.m.f.) and regression functions are performed using associated kernels. The cross-validation technique and the local Bayesian procedure are also implemented for bandwidth selection.

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>Ake</artifactId>
    <version>1.0-b241</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:Ake')

Test Results

This package was last tested against Renjin 0.9.2644 on Jun 1, 2018.

• dke.fun-examples
• hcvc.fun-examples
• hcvd.fun-examples
• hcvreg.fun-examples
• kef-examples
• kern.fun-examples
• kpmfe.fun-examples
• milk-examples
• print.reg.fun-examples
• reg.fun-examples

Source

View GitHub Mirror

Release History

• 1.0