cofad: Contrast Analyses for Factorial Designs

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: 0.1.0
Depends: R (≥ 3.1.0)
Suggests: testthat, knitr, rmarkdown
Published: 2019-08-27
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

Downloads:

Reference manual: cofad.pdf
Vignettes: my-vignette
Package source: cofad_0.1.0.tar.gz
Windows binaries: r-devel: cofad_0.1.0.zip, r-release: cofad_0.1.0.zip, r-oldrel: cofad_0.1.0.zip
OS X binaries: r-release: cofad_0.1.0.tgz, r-oldrel: cofad_0.1.0.tgz

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