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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.

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conda 49.1 kB | noarch/r-t2eq-1.1-r43h142f84f_0.tar.bz2  9 months and 30 days ago 15 main
conda 48.6 kB | noarch/r-t2eq-1.1-r42h142f84f_0.tar.bz2  2 years and 4 months ago 44 main
conda 48.4 kB | noarch/r-t2eq-1.1-r36h6115d3f_0.tar.bz2  4 years and 8 months ago 117 main

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