Plot comparative Box-Whisker and Heatmap plots of variables across samples check the effectiveness of normalization before and after Mean-Variance Regularization.
mvrt.test
(Package: MVR) :
Function for Computing Mean-Variance Regularized T-test Statistic and Its Significance
End-user function for computing MVR t-test statistic and its significance (p-value) under sample group homoscedasticity or heteroscedasticity assumption.
● Data Source:
CranContrib
● Keywords: High Performance Computing, Mean-Variance Estimators, Parallel Programming, Regularized Test Statistics
● Alias: mvrt.test
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mvr
(Package: MVR) :
Function for Mean-Variance Regularization and Variance Stabilization
End-user function for Mean-Variance Regularization (MVR) and Variance Stabilization by similarity statistic under sample group homoscedasticity or heteroscedasticity assumptions.
target.diagnostic
(Package: MVR) :
Function for Plotting Summary Target Moments Diagnostic Plots
Plot comparative distribution densities of means and standard deviations of the data before and after Mean-Variance Regularization to check for location shifts between observed first and second moments and their expected target values under a target centered homoscedastic model.
providing 
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