CRAN/E | MixRF

MixRF

A Random-Forest-Based Approach for Imputing Clustered Incomplete Data

Installation

About

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.

github.com/randel/MixRF
Bug report File report

Key Metrics

Version 1.0
Published 2016-04-06 2942 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks MixRF results

Downloads

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Maintainer

Maintainer

Jiebiao Wang

randel.wang@gmail.com

Authors

Jiebiao Wang
Lin S. Chen

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Depends

doParallel
randomForest
lme4
foreach