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 |
| Reference manual: | T2EQ.pdf |
| Package source: | T2EQ_1.1.tar.gz |
| Windows binaries: | r-devel: T2EQ_1.1.zip, r-release: T2EQ_1.1.zip, r-oldrel: T2EQ_1.1.zip |
| macOS binaries: | r-release: T2EQ_1.1.tgz, r-oldrel: T2EQ_1.1.tgz |
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