CRAN

gamboostLSS 2.0-1

Boosting Methods for 'GAMLSS'

Released Jun 15, 2018 by Benjamin Hofner

Dependencies

mboost 2.9-0 stabs 0.6-3

Boosting models for fitting generalized additive models for location, shape and scale ('GAMLSS') to potentially high dimensional data.

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>gamboostLSS</artifactId>
    <version>2.0-1-b1</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:gamboostLSS')

Test Results

This package was last tested against Renjin 0.9.2657 on Aug 18, 2018.

• as.families-examples
• bugfixes
• families-examples
• india-examples
• methods-examples
• regtest-families
• regtest-gamboostLSS
• regtest-glmboostLSS
• regtest-mstop
• regtest-noncyclic_fitting
• regtest-stabilization
• regtest-stabsel
• weighted_median-examples

Source

View GitHub Mirror

Release History

• 2.0-1
• 2.0-0
• 1.2-2
• 1.2-1
• 1.2-0
• 1.1-3
• 1.1-2
• 1.1-1
• 1.1-0
• 1.0-3
• 1.0-2
• 1.0-1
• 1.0-0