CRAN

TSDFGS 1.0

Training Set Determination for Genomic Selection

Released Mar 7, 2019 by Jen-Hsiang Ou

This package can be loaded by Renjin but 3 out 6 tests failed.

Dependencies

Determining training set for genomic selection using a genetic algorithm (Holland J.H. (1975) ) or simple exchange algorithm (change an individual every iteration). Three different criteria are used in both algorithms, which are r-score (Ou J.H., Liao C.T. (2018) ), PEV-score (Akdemir D. et al. (2015) ) and CD-score (Laloe D. (1993) ). Phenotypic data for candidate set is not necessary for all these methods. By using it, one may readily determine a training set that can be expected to provide a better training set comparing to random sampling.

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>TSDFGS</artifactId>
    <version>1.0-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:TSDFGS')

Test Results

This package was last tested against Renjin 0.9.2724 on Mar 9, 2019.

Source

C++

View GitHub Mirror