Package: T2EQ 1.1
Thomas Hoffelder
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.
Authors:
T2EQ_1.1.tar.gz
T2EQ_1.1.tar.gz(r-4.5-noble)T2EQ_1.1.tar.gz(r-4.4-noble)
T2EQ_1.1.tgz(r-4.4-emscripten)T2EQ_1.1.tgz(r-4.3-emscripten)
T2EQ.pdf |T2EQ.html✨
T2EQ/json (API)
| # Install 'T2EQ' in R: |
| install.packages('T2EQ', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- ex_data_JoBS - Example dataset from Hoffelder et al.
- ex_data_pharmind - Example dataset from Hoffelder
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 8 years agofrom:4b4bf476e3. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 31 2024 |
| R-4.5-linux | OK | Oct 31 2024 |
Exports:T2EQT2EQ.dissolution.profiles.hoffelder
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Functions for Applying the T^2-Test for Equivalence | T2EQ-package |
| Example dataset from Hoffelder et al. (2015) | ex_data_JoBS |
| Example dataset from Hoffelder (2016) | ex_data_pharmind |
| Function for applying the T^2-test for equivalence | T2EQ |
| The T^2-test for equivalence for dissolution data | T2EQ.dissolution.profiles.hoffelder |