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

Documentation:

Reference manual: T2EQ.pdf

Downloads:

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 (arm64): T2EQ_1.1.tgz, r-oldrel (arm64): T2EQ_1.1.tgz, r-release (x86_64): T2EQ_1.1.tgz

Reverse dependencies:

Reverse suggests: disprofas

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