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.
Contrast analysis for factorial designs is an alternative to the classical ANOVA approach with the advantage of testing focused hypothesis. The method is mainly based on Rosenthal, Rosnow and Rubin (2000, ISBN:978-0521659802) and Sedlmeier and Renkewitz (2018, ISBN:978-3868943214).
| Version: | 0.1.1 |
| Depends: | R (≥ 3.1.0) |
| Suggests: | testthat, knitr, rmarkdown |
| Published: | 2020-03-02 |
| Author: | Markus Burkhardt [aut, cre], Johannes Titz [aut] |
| Maintainer: | Markus Burkhardt <markus.burkhardt at psychologie.tu-chemnitz.de> |
| License: | GPL-2 |
| URL: | https://gitlab.hrz.tu-chemnitz.de/burma--tu-chemnitz.de/cofad.git |
| NeedsCompilation: | no |
| CRAN checks: | cofad results |
| Reference manual: | cofad.pdf |
| Vignettes: |
cofad-vignette |
| Package source: | cofad_0.1.1.tar.gz |
| Windows binaries: | r-devel: cofad_0.1.1.zip, r-release: cofad_0.1.1.zip, r-oldrel: cofad_0.1.1.zip |
| macOS binaries: | r-release (arm64): cofad_0.1.1.tgz, r-oldrel (arm64): cofad_0.1.1.tgz, r-release (x86_64): cofad_0.1.1.tgz, r-oldrel (x86_64): cofad_0.1.1.tgz |
| Old sources: | cofad archive |
Please use the canonical form https://CRAN.R-project.org/package=cofad 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.