CRAN

mboost 2.9-1

Model-Based Boosting

Released Aug 22, 2018 by Benjamin Hofner

Dependencies

nnls 1.4 survival 2.42-6 Matrix 1.2-14 quadprog 1.5-5 lattice 0.20-35 partykit 1.2-2 stabs 0.6-3

Functional gradient descent algorithm (boosting) for optimizing general risk functions utilizing component-wise (penalised) least squares estimates or regression trees as base-learners for fitting generalized linear, additive and interaction models 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>mboost</artifactId>
    <version>2.9-1-b2</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:mboost')

Test Results

This package was last tested against Renjin 0.9.2687 on Aug 25, 2018.

• FP-examples
• Family-examples
• blackboost-examples
• boost_family-class-examples
• cvrisk-examples
• gamboost-examples
• glmboost-examples
• mboost_fit-examples
• methods-examples
• plot-examples
• stabsel-examples
• survFit-examples
• varimp-examples

Source

View GitHub Mirror

Release History

• 2.9-1
• 2.9-0
• 2.8-1
• 2.8-0
• 2.7-0
• 2.6-0
• 2.5-0
• 2.4-2
• 2.4-1
• 2.4-0
• 2.3-0
• 2.2-3
• 2.2-2
• 2.2-1
• 2.2-0
• 2.1-3
• 2.1-2
• 2.1-1
• 2.1-0
• 2.0-12
• 2.0-11
• 2.0-10
• 2.0-9
• 2.0-8
• 2.0-7
• 2.0-6
• 2.0-5
• 2.0-4
• 2.0-3
• 2.0-2
• 2.0-1
• 2.0-0
• 1.1-4
• 1.1-3
• 1.1-2
• 1.1-1
• 1.1-0
• 1.0-6
• 1.0-5
• 1.0-4
• 1.0-3
• 1.0-2
• 1.0-1
• 1.0-0
• 0.5-8
• 0.5-7
• 0.5-6
• 0.5-5
• 0.5-4
• 0.5-3
• 0.5-2
• 0.5-1
• 0.5-0
• 0.4-17
• 0.4-15
• 0.4-14
• 0.4-13
• 0.4-12
• 0.4-11
• 0.4-10
• 0.4-9
• 0.4-8
• 0.4-7
• 0.4-6