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:Please use the canonical form https://CRAN.R-project.org/package=MERO to link to this page.
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