CRAN

QRFCCA 1.0

Quadratically Regularized Functional Canonical Correlation Analysis

Released Nov 14, 2017 by Nan Lin

Dependencies

flare 1.6.0 corpcor 1.6.9 MASS 7.3-50 fda 2.4.8 igraph 1.2.2

Conduct quadratically regularized functional canonical correlation analysis. The details of the method are explained in Nan Lin, Yun Zhu, Ruzhong Fan and Momiaoxiong (2017) .

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>QRFCCA</artifactId>
    <version>1.0-b7</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:QRFCCA')

Test Results

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

• CCA_chisq_test-examples
• cca-examples
• fourier.expansion-examples
• fourier.expansion.smoothed-examples
• fpca.score-examples
• lm.rm-examples
• mrank-examples
• mrank_sq-examples
• myinv-examples
• p_ginv-examples
• p_ginv_sq-examples
• phe_data-examples
• qcca-examples
• qcca_p-examples
• qlr-examples
• snp_data-examples

Source

View GitHub Mirror

Release History

• 1.0