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

Documentation:

Reference manual:

rMisbeta.pdf

Downloads:

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

Linking:

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