rMisbeta: A Robust Missing Imputation Method for Gene Expression Data

It was developed especially for gene expression and metabolomics data analysis when the datasets are corrupted by outliers and missing values. The beta-divergence method was used to impute the missing values and modify the outliers.

Version: 1.0
Depends: R (≥ 4.0), stats
Imports: ROC
Suggests: MASS
Published: 2020-11-06
Author: Md. Shahjaman and Md. Nurul Haque Mollah
Maintainer: Shahjaman <shahjaman_brur at yahoo.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: rMisbeta results


Reference manual: rMisbeta.pdf


Package source: rMisbeta_1.0.tar.gz
Windows binaries: r-devel: rMisbeta_1.0.zip, r-release: rMisbeta_1.0.zip, r-oldrel: rMisbeta_1.0.zip
macOS binaries: r-release (arm64): rMisbeta_1.0.tgz, r-oldrel (arm64): rMisbeta_1.0.tgz, r-release (x86_64): rMisbeta_1.0.tgz, r-oldrel (x86_64): rMisbeta_1.0.tgz


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