ex_data_JoBS


Multivariate example dataset of dissolution profiles. Dataset consists of two three-dimensional samples. The names of the three variables are "Diss_15_min","Diss_20_min" and "Diss_25_min". Variable "Group" discriminates between first sample (<code>Group == "REF"</code>) and second sample (<code>Group == "Test"</code>). Sample size is 12 per group.   


datasets

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.

Thomas Hoffelder

T2EQ

Functions for Applying the T^2-Test for Equivalence

ex_data_JoBS function

A data frame with 24 observations on the following 4 variables.
  <dl> </dl> 

Format

Hoffelder, T., Goessl, R., Wellek, S. (2015), "Multivariate Equivalence Tests for Use in Pharmaceutical Development", <em>Journal of Biopharmaceutical Statistics</em>, 25:3, 417-437.

ex_data_JoBS: Example dataset from Hoffelder et al. (2015)

Description

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Examples