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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: | 0.3.0 |
Depends: | R (≥ 3.1.0) |
Imports: | dplyr, Hmisc, magrittr, readr, rhandsontable, rlang, shiny, shinydashboard, shinyjs, stringr, tibble, utils |
Suggests: | rmarkdown, shinytest2, testthat (≥ 3.0.0) |
Published: | 2024-07-05 |
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 |
Reference manual: | cofad.pdf |
Package source: | cofad_0.3.0.tar.gz |
Windows binaries: | r-devel: cofad_0.3.0.zip, r-release: cofad_0.3.0.zip, r-oldrel: cofad_0.3.0.zip |
macOS binaries: | r-release (arm64): cofad_0.3.0.tgz, r-oldrel (arm64): cofad_0.3.0.tgz, r-release (x86_64): cofad_0.3.0.tgz, r-oldrel (x86_64): cofad_0.3.0.tgz |
Old sources: | cofad archive |
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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.