CRAN
GWASinlps 1.2
Nonlocal Prior Based Iterative SNP Selection Tool for Genome-Wide Association Studies
Released Jul 19, 2018 by Nilotpal Sanyal
Dependencies
mombf 2.1.2 horseshoe 0.1.0 speedglm 0.3-2
Performs variable selection with data from Genome-wide association studies (GWAS) combining, in an iterative variable selection framework, the computational efficiency of the screen-and-select approach based on some association learning and the parsimonious uncertainty quantification provided by the use of nonlocal priors, as described in Sanyal et al. (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>GWASinlps</artifactId>
<version>1.2-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>
Renjin CLI
If you're using Renjin from the command line, you load this library by invoking:
library('org.renjin.cran:GWASinlps')
Test Results
This package was last tested against Renjin 0.9.2689 on Aug 27, 2018.