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: not available |
macOS binaries: | r-release: not available, r-oldrel: not available |
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