Functions for Applying the T^2-Test for Equivalence
Description
Contains functions for applying the T^2-test for equivalence.
The T^2-test for equivalence is a multivariate two-sample equivalence test.
Distance measure of the test is the Mahalanobis distance.
For multivariate normally distributed data the T^2-test for equivalence
is exact and UMPI.
The function T2EQ() implements the T^2-test for equivalence
according to Wellek (2010) .
The function T2EQ.dissolution.profiles.hoffelder() implements a variant
of the T^2-test for equivalence according to Hoffelder (2016)
for the
equivalence comparison of highly variable dissolution profiles.