CRAN

ACMEeqtl 1.4

Estimation of Interpretable eQTL Effect Sizes Using a Log of Linear Model

Released Mar 11, 2017 by Andrey A Shabalin, John Palowitch

This package can be loaded by Renjin but 2 out 4 tests failed.

Dependencies

filematrix 1.1.0

We use a non-linear model, termed ACME, that reflects a parsimonious biological model for allelic contributions of cis-acting eQTLs. With non-linear least-squares algorithm we estimate maximum likelihood parameters. The ACME model provides interpretable effect size estimates and p-values with well controlled Type-I error. Includes both R and (much faster) C implementations.

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>ACMEeqtl</artifactId>
    <version>1.4-b3</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:ACMEeqtl')

Test Results

This package was last tested against Renjin 0.8.2346 on Mar 18, 2017.

Source

R
C

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Release History