The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

disprofas: Non-Parametric Dissolution Profile Analysis

Similarity of dissolution profiles is assessed using the similarity factor f2 according to the EMA guideline (European Medicines Agency 2010) "On the investigation of bioequivalence". Dissolution profiles are regarded as similar if the f2 value is between 50 and 100. For the applicability of the similarity factor f2, the variability between profiles needs to be within certain limits. Often, this constraint is violated. One possibility in this situation is to resample the measured profiles in order to obtain a bootstrap estimate of f2 (Shah et al. (1998) <doi:10.1023/A:1011976615750>). Other alternatives are the model-independent non-parametric multivariate confidence region (MCR) procedure (Tsong et al. (1996) <doi:10.1177/009286159603000427>) or the T2-test for equivalence procedure (Hoffelder (2016) <https://www.ecv.de/suse_item.php?suseId=Z|pi|8430>). Functions for estimation of f1, f2, bootstrap f2, MCR / T2-test for equivalence procedure are implemented.

Version: 0.2.0
Depends: R (≥ 4.0)
Imports: boot, ggplot2, rlang, lifecycle
Suggests: testthat, T2EQ
Published: 2024-06-10
DOI: 10.32614/CRAN.package.disprofas
Author: Pius Dahinden [aut, cre], Tillotts Pharma AG [cph, fnd]
Maintainer: Pius Dahinden <pius.dahinden at tillotts.com>
BugReports: https://github.com/piusdahinden/disprofas/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/piusdahinden/disprofas
NeedsCompilation: no
Language: en-GB
Materials: README NEWS
CRAN checks: disprofas results

Documentation:

Reference manual: disprofas.pdf

Downloads:

Package source: disprofas_0.2.0.tar.gz
Windows binaries: r-devel: disprofas_0.2.0.zip, r-release: disprofas_0.2.0.zip, r-oldrel: disprofas_0.2.0.zip
macOS binaries: r-release (arm64): disprofas_0.2.0.tgz, r-oldrel (arm64): disprofas_0.2.0.tgz, r-release (x86_64): disprofas_0.2.0.tgz, r-oldrel (x86_64): disprofas_0.2.0.tgz
Old sources: disprofas archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=disprofas to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.