Functions for Applying the T^2-Test for Equivalence R package T2EQ version 1.1 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. Software Thomas Hoffelder <thomas.hoffelder@boehringer-ingelheim.com> Comprehensive R Archive Network (CRAN) Thomas Hoffelder GPL-3 2016-08-31 application/tgz https://CRAN.R-project.org/package=T2EQ doi:10.32614/CRAN.package.T2EQ