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MERO: Performing Monte Carlo Expectation Maximization Random Forest Imputation for Biological Data

Perform missing value imputation for biological data using the random forest algorithm, the imputation aim to keep the original mean and standard deviation consistent after imputation.

Version: 0.1.2
Imports: missForest, ggpubr, progress, doParallel, foreach
Published: 2023-02-24
DOI: 10.32614/CRAN.package.MERO
Author: Mohamed Soudy [aut, cre]
Maintainer: Mohamed Soudy <MohmedSoudy2009 at gmail.com>
License: GPL-3
NeedsCompilation: no
CRAN checks: MERO results

Documentation:

Reference manual: MERO.pdf

Downloads:

Package source: MERO_0.1.2.tar.gz
Windows binaries: r-devel: MERO_0.1.2.zip, r-release: MERO_0.1.2.zip, r-oldrel: MERO_0.1.2.zip
macOS binaries: r-release (arm64): MERO_0.1.2.tgz, r-oldrel (arm64): MERO_0.1.2.tgz, r-release (x86_64): MERO_0.1.2.tgz, r-oldrel (x86_64): MERO_0.1.2.tgz
Old sources: MERO archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.