| Name : R-SE.EQ
| |
| Version : 1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp156.2.1
| Date : 2024-06-24 14:00:16
|
| Group : Development/Libraries/Other
| Source RPM : R-SE.EQ-1.0-lp156.2.1.src.rpm
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| Size : 0.04 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : SE-Test for Equivalence
|
Description :
Implements the SE-test for equivalence according to Hoffelder et al.
(2015) < DOI:10.1080/10543406.2014.920344>. The SE-test for equivalence
is a multivariate two-sample equivalence test. Distance measure of the
test is the sum of standardized differences between the expected values
or in other words: the sum of effect sizes (SE) of all components of
the two multivariate samples. The test is an asymptotically valid test
for normally distributed data (see Hoffelder et al.,2015). The function
SE.EQ() implements the SE-test for equivalence according to Hoffelder
et al. (2015). The function SE.EQ.dissolution.profiles() implements a
variant of the SE-test for equivalence for similarity analyses of
dissolution profiles as mentioned in Suarez-Sharp et al.(2020)
< DOI:10.1208/s12248-020-00458-9>). The equivalence margin used in
SE.EQ.dissolution.profiles() is analogically defined as for the T2EQ
approach according to Hoffelder (2019) < DOI:10.1002/bimj.201700257>) by
means of a systematic shift in location of 10 [\\% of label claim] of
both dissolution profile populations. SE.EQ.dissolution.profiles()
checks whether the weighted mean of the differences of the expected
values of both dissolution profile populations is statistically
significantly smaller than 10 [\\% of label claim]. The weights are
built up by the inverse variances.
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.6/x86_64 |
