CRAN

MFPCA 1.3-2

Multivariate Functional Principal Component Analysis for Data Observed on Different Dimensional Domains

Released Mar 20, 2019 by Clara Happ

This package can be loaded by Renjin but 19 out 32 tests failed. An older version of this package is more compatible with Renjin.

Dependencies

abind 1.4-3 plyr 1.8.4 funData 1.3-3 mgcv 1.8-28 Matrix 1.2-17 foreach 1.4.4 irlba 2.3.3

Calculate a multivariate functional principal component analysis for data observed on different dimensional domains. The estimation algorithm relies on univariate basis expansions for each element of the multivariate functional data (Happ & Greven, 2018) . Multivariate and univariate functional data objects are represented by S4 classes for this type of data implemented in the package 'funData'. For more details on the general concepts of both packages and a case study, see Happ (2018) .

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>MFPCA</artifactId>
    <version>1.3-2-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>

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Renjin CLI

If you're using Renjin from the command line, you load this library by invoking:

library('org.renjin.cran:MFPCA')

Test Results

This package was last tested against Renjin 0.9.2725 on Mar 26, 2019.

Source

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Release History