CRAN

mgcv 1.8-28

Mixed GAM Computation Vehicle with Automatic Smoothness Estimation

Released Mar 21, 2019 by Simon Wood

This package can be loaded by Renjin but 82 out 117 tests failed.

Dependencies

Matrix 1.2-17 nlme 3.1-140

Generalized additive (mixed) models, some of their extensions and other generalized ridge regression with multiple smoothing parameter estimation by (Restricted) Marginal Likelihood, Generalized Cross Validation and similar, or using iterated nested Laplace approximation for fully Bayesian inference. See Wood (2017) for an overview. Includes a gam() function, a wide variety of smoothers, 'JAGS' support and distributions beyond the exponential family.

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>mgcv</artifactId>
    <version>1.8-28-b4</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:mgcv')

Test Results

This package was last tested against Renjin 3.5-beta40 on Jul 11, 2019.