T2EQ: Functions for Applying the T^2-Test for Equivalence
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) <doi:10.1201/ebk1439808184>.
The function T2EQ.dissolution.profiles.hoffelder() implements a variant
of the T^2-test for equivalence according to Hoffelder (2016)
<http://www.ecv.de/suse_item.php?suseId=Z|pi|8430> for the
equivalence comparison of highly variable dissolution profiles.
| Version: |
1.1 |
| Published: |
2016-08-31 |
| Author: |
Thomas Hoffelder |
| Maintainer: |
Thomas Hoffelder <thomas.hoffelder at boehringer-ingelheim.com> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| CRAN checks: |
T2EQ results |
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