| rMisbeta-package | A Robust Missing Imputation Method for Gene Expression and Metabolomics Data Analysis |
| CalcMeanVar | This function estimates the robust mean and variance using beta-divergence method. |
| OutMisDat | This function allows user's to add outliers and missing values in the original dataset |
| performance.eval | This function estimates the different performance indices like, TPR,TNR,FPR,FNR,AUC etc. for number of top genes |
| remat | Reformulated data matrix after modification of outliers and missing imputation using beta divergence method |
| RobMeanVar | This function estimates the robust mean and variance using beta-divergence method to reconstruct the data matrix. |
| Sim2Group | This function Sim2Group() simulates the gene expression data for two groups using one-way ANOVA model |