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

Package implements the EDNE-test for equivalence
according to Hoffelder et al. (2015) <DOI:10.1080/10543406.2014.920344>.
"EDNE" abbreviates "Euclidean Distance between the
Non-standardized Expected values".
The EDNE-test for equivalence is a multivariate two-sample equivalence test.
Distance measure of the test is the Euclidean distance.
The test is an asymptotically valid test for the family of distributions
fulfilling the assumptions of the multivariate central limit theorem
(see Hoffelder et al.,2015).
The function EDNE.EQ() implements the EDNE-test for equivalence
according to Hoffelder et al. (2015).
The function EDNE.EQ.dissolution.profiles() implements a variant
of the EDNE-test for equivalence analyses of dissolution profiles
(see Suarez-Sharp et al.,2020 <DOI:10.1208/s12248-020-00458-9>).
EDNE.EQ.dissolution.profiles() checks whether the quadratic mean of the
differences of the expected values of both dissolution profile populations
is statistically significantly smaller than 10 [\% of label claim].
The current regulatory standard approach for equivalence analyses of
dissolution profiles is the similarity factor f2.
The statistical hypotheses underlying EDNE.EQ.dissolution.profiles()
coincide with the hypotheses for f2 (see Hoffelder et al.,2015,
Suarez-Sharp et al., 2020).

Thomas Hoffelder

EDNE.EQ

Implements the EDNE-Test for Equivalence

ex_data_JoBS function

A data frame with 24 observations on the following 4 variables.<dl class="dl-horizontal">
 <dt><code>Group</code></dt><dd>a factor with levels <code>REF</code> <code>TEST</code></dd>
 <dt><code>Diss_15_min</code></dt><dd>a numeric vector</dd>
 <dt><code>Diss_20_min</code></dt><dd>a numeric vector</dd>
 <dt><code>Diss_25_min</code></dt><dd>a numeric vector</dd>
 </dl>

Format

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

A data frame with 24 observations on the following 4 variables.<dl class='dl-horizontal'>
 <dt><code>Group</code></dt><dd>a factor with levels <code>REF</code> <code>TEST</code></dd>
 <dt><code>Diss_15_min</code></dt><dd>a numeric vector</dd>
 <dt><code>Diss_20_min</code></dt><dd>a numeric vector</dd>
 <dt><code>Diss_25_min</code></dt><dd>a numeric vector</dd>
 </dl>

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

Description

Usage

Arguments

Format

Details

References

Examples