cofad: Contrast Analyses for Factorial Designs

Contrast analysis for factorial designs provides an alternative to the traditional ANOVA approach, offering the distinct advantage of testing targeted hypotheses. The foundation of this package is primarily rooted in the works of Rosenthal, Rosnow, and Rubin (2000, ISBN: 978-0521659802) as well as Sedlmeier and Renkewitz (2018, ISBN: 978-3868943214).

Version: 0.3.1
Depends: R (≥ 3.5)
Imports: dplyr, Hmisc, magrittr, readr, rhandsontable, rlang, shiny, shinydashboard, shinyjs, stringr, tibble, utils
Suggests: rmarkdown, shinytest2, testthat (≥ 3.0.0)
Published: 2024-12-06
DOI: 10.32614/CRAN.package.cofad
Author: Johannes Titz [aut, cre], Markus Burkhardt [aut], Mirka Henninger [ctb], Simone Malejka [ctb]
Maintainer: Johannes Titz <johannes.titz at gmail.com>
License: LGPL (≥ 3)
URL: https://github.com/johannes-titz/cofad
NeedsCompilation: no
Materials: README NEWS
CRAN checks: cofad results

Documentation:

Reference manual: cofad.pdf

Downloads:

Package source: cofad_0.3.1.tar.gz
Windows binaries: r-devel: cofad_0.3.1.zip, r-release: cofad_0.3.0.zip, r-oldrel: cofad_0.3.0.zip
macOS binaries: r-release (arm64): cofad_0.3.1.tgz, r-oldrel (arm64): cofad_0.3.1.tgz, r-release (x86_64): cofad_0.3.1.tgz, r-oldrel (x86_64): cofad_0.3.1.tgz
Old sources: cofad archive

Linking:

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