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 |
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