MVR (version 1.20.0)

mvrt: Mean-Variance Regularized t-Test Statistic Subroutine

Description

Internal subroutine called by mvrt.test for computing the mean-variance regularized test-statistic.

Usage

mvrt(x, obj, lev, tab, ng, def, nc.min, nc.max, parallel, conf, verbose)

Arguments

x

Input matrix with variables in columns

obj

Object of class "mvr" returned by mvr.

lev

levels of the group/blocking factor used in mvrt.test()

tab

numeric scalar of the number of samples per group

ng

numeric scalar of the number of sample groups

def

list of samples indices per sample group

nc.min

numeric scalar of the minimum number of clusters

nc.max

numeric scalar of the maximum number of clusters

parallel

Is parallel computing to be performed? Optional, defaults to FALSE.

conf

List of parameters for cluster configuration, passed from mvrt.test function for parallel computing. Inputs for R package parallel function makeCluster

verbose

Is the output to be verbose?

Value

• numeric scalar of the test statistic.

Details

See details in mvrt.test.

References

• 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.

See Also

mvrt.test Mean-Variance Regularized t-Test Statistic with Significance