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twowaytests: Two-Way Tests in Independent Groups Designs

Performs two-way tests in independent groups designs. These are two-way ANOVA, two-way ANOVA under heteroscedasticity: parametric bootstrap based generalized test and generalized pivotal quantity based generalized test (Ananda et al., 2022) <doi:10.1080/03610926.2022.2059682>, two-way ANOVA for medians, trimmed means, M-estimators (Wilcox, 2011; ISBN:978-0-12-386983-8). The package performs descriptive statistics and graphical approaches. Moreover, it assesses variance homogeneity and normality of data in each group via tests and plots. All 'twowaytests' functions are designed for two-way layout.

Version: 1.3
Depends: R (≥ 3.5.0)
Imports: onewaytests, stats, ggplot2, nortest, car, wesanderson
Suggests: WRS2
Published: 2023-03-31
Author: Osman Dag [aut, cre], Sam Weerahandi [aut], Malwane Ananda [aut], Muhammed Ali Yilmaz [aut], Merve Kasikci [aut]
Maintainer: Osman Dag <osman.dag at outlook.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: twowaytests results

Documentation:

Reference manual: twowaytests.pdf

Downloads:

Package source: twowaytests_1.3.tar.gz
Windows binaries: r-devel: twowaytests_1.3.zip, r-release: twowaytests_1.3.zip, r-oldrel: twowaytests_1.3.zip
macOS binaries: r-release (arm64): twowaytests_1.3.tgz, r-oldrel (arm64): twowaytests_1.3.tgz, r-release (x86_64): twowaytests_1.3.tgz, r-oldrel (x86_64): twowaytests_1.3.tgz
Old sources: twowaytests archive

Linking:

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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.
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