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MixRF: A Random-Forest-Based Approach for Imputing Clustered IncompleteData

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.

Version:1.0
Depends:doParallel,randomForest,lme4,foreach
Published:2016-04-06
DOI:10.32614/CRAN.package.MixRF
Author:Jiebiao Wang and Lin S. Chen
Maintainer:Jiebiao Wang <randel.wang at gmail.com>
BugReports:https://github.com/randel/MixRF/issues
License:GPL-2 |GPL-3 [expanded from: GPL]
URL:https://github.com/randel/MixRF
NeedsCompilation:no
CRAN checks:MixRF results

Documentation:

Reference manual:MixRF.html ,MixRF.pdf

Downloads:

Package source: MixRF_1.0.tar.gz
Windows binaries: r-devel:MixRF_1.0.zip, r-release:MixRF_1.0.zip, r-oldrel:MixRF_1.0.zip
macOS binaries: r-release (arm64):MixRF_1.0.tgz, r-oldrel (arm64):MixRF_1.0.tgz, r-release (x86_64):MixRF_1.0.tgz, r-oldrel (x86_64):MixRF_1.0.tgz

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=MixRFto link to this page.


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