CRAN
MixRF 1.0
A Random-Forest-Based Approach for Imputing Clustered Incomplete Data
Released Apr 6, 2016 by Jiebiao Wang
Dependencies
randomForest 4.6-14 foreach 1.4.4 doParallel 1.0.11 lme4 1.1-18-1
It offers random-forest-based functions to impute clustered incomplete data. The package is tailored for but not limited to imputing multitissue expression data, in which a gene's expression is measured on the collected tissues of an individual but missing on the uncollected tissues.
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>MixRF</artifactId> <version>1.0-b30</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:MixRF')
Test Results
This package was last tested against Renjin 0.9.2689 on Aug 27, 2018.