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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 |
| Reference manual: | MERO.pdf |
| 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 |
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These binaries (installable software) and packages are in development.
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