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>
License: GPL-3
NeedsCompilation: no
CRAN checks: MERO results


Reference manual: MERO.pdf


Package source: MERO_0.1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


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