The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
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[@]dogado.de.
Calculates exact hypothesis tests to compare a treatment and a reference group with respect to multiple binary endpoints. The tested null hypothesis is an identical multidimensional distribution of successes and failures in both groups. The alternative hypothesis is a larger success proportion in the treatment group in at least one endpoint. The tests are based on the multivariate permutation distribution of subjects between the two groups. For this permutation distribution, rejection regions are calculated that satisfy one of different possible optimization criteria. In particular, regions with maximal exhaustion of the nominal significance level, maximal power under a specified alternative or maximal number of elements can be found. Optimization is achieved by a branch-and-bound algorithm. By application of the closed testing principle, the global hypothesis tests are extended to multiple testing procedures.
| Version: | 1.1 |
| Depends: | R (≥ 3.0.0) |
| Imports: | stats |
| Published: | 2018-02-23 |
| DOI: | 10.32614/CRAN.package.multfisher |
| Author: | Robin Ristl [aut, cre] |
| Maintainer: | Robin Ristl <robin.ristl at meduniwien.ac.at> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Citation: | multfisher citation info |
| CRAN checks: | multfisher results |
| Reference manual: | multfisher.pdf |
| Package source: | multfisher_1.1.tar.gz |
| Windows binaries: | r-devel: multfisher_1.1.zip, r-release: multfisher_1.1.zip, r-oldrel: multfisher_1.1.zip |
| macOS binaries: | r-release (arm64): multfisher_1.1.tgz, r-oldrel (arm64): multfisher_1.1.tgz, r-release (x86_64): multfisher_1.1.tgz, r-oldrel (x86_64): multfisher_1.1.tgz |
| Old sources: | multfisher archive |
Please use the canonical form https://CRAN.R-project.org/package=multfisher 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.
Health stats visible at Monitor.