`mvr`

and internally by `MeanVarReg`

subroutine.`pooled.mean(x, block)`

x

`numeric`

`vector`

or `matrix`

with variables in columns.block

`vector`

or `factor`

grouping/blocking variable.
Must Have length equal to the sample size.
All group sample sizes must be greater than 1.`numeric`

`vector`

of size the dimensionality where each entry is the variable-wise pooled group sample mean.

`block`

describes a unique sample group, ordinary sample mean will be computed.- Dazard J-E., Hua Xu and J. S. Rao (2011). "
*R package MVR for Joint Adaptive Mean-Variance Regularization and Variance Stabilization.*" In JSM Proceedings, Section for Statistical Programmers and Analysts. Miami Beach, FL, USA: American Statistical Association IMS - JSM, 3849-3863. - Dazard J-E. and J. S. Rao (2012). "
*Joint Adaptive Mean-Variance Regularization and Variance Stabilization of High Dimensional Data.*" Comput. Statist. Data Anal. 56(7):2317-2333.

`pooled.mean`

Pooled group sample mean`mvr`

Mean-Variance Regularization and Variance Stabilization.`MeanVarReg`

Mean-Variance Regularization Core Function.