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rMisbeta  

A Robust Missing Imputation Method for Gene Expression Data
View on CRAN: Click here


Download and install rMisbeta package within the R console
Install from CRAN:
install.packages("rMisbeta")

Install from Github:
library("remotes")
install_github("cran/rMisbeta")

Install by package version:
library("remotes")
install_version("rMisbeta", "1.0")



Attach the package and use:
library("rMisbeta")
Maintained by
Shahjaman
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-11-06
Latest Update:
Description:
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.
How to cite:
Shahjaman (2020). rMisbeta: A Robust Missing Imputation Method for Gene Expression Data. R package version 1.0, https://cran.r-project.org/web/packages/rMisbeta. Accessed 30 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:47), 1.0 (2020-11-06 13:20)
Other packages that cited rMisbeta R package
View rMisbeta citation profile
Other R packages that rMisbeta depends, imports, suggests or enhances
Functions, R codes and Examples using the rMisbeta R package
Some associated functions: CalcMeanVar . OutMisDat . RobMeanVar . Sim2Group . performance.eval . rMisbeta-package . remat . 
Some associated R codes: CalcMeanVar.R . OutMisDat.R . RobMeanVar.R . Sim2Group.R . performance.eval.R . remat.R .  Full rMisbeta package functions and examples
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