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cofad  

Contrast Analyses for Factorial Designs
View on CRAN: Click here


Download and install cofad package within the R console
Install from CRAN:
install.packages("cofad")

Install from Github:
library("remotes")
install_github("cran/cofad")

Install by package version:
library("remotes")
install_version("cofad", "0.3.3")



Attach the package and use:
library("cofad")
Maintained by
Johannes Titz
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-08-27
Latest Update: 2025-05-15
Description:
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).
How to cite:
Johannes Titz (2019). cofad: Contrast Analyses for Factorial Designs. R package version 0.3.3, https://cran.r-project.org/web/packages/cofad. Accessed 05 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:27), 0.1.0 (2019-08-27 09:40), 0.1.1 (2020-03-02 17:00), 0.3.0 (2024-07-05 13:20), 0.3.1 (2024-12-06 11:40), 0.3.2 (2025-01-10 17:50)
Other packages that cited cofad R package
View cofad citation profile
Other R packages that cofad depends, imports, suggests or enhances
Complete documentation for cofad
Functions, R codes and Examples using the cofad R package
Some associated functions: calc_contrast . print.cofad_bw . print.cofad_mx . print.cofad_wi . summary.cofad_bw . summary.cofad_mx . summary.cofad_wi . 
Some associated R codes: calc_contrast.R . print_methods.R . summary_methods.R .  Full cofad package functions and examples
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