Package: additivityTests 1.1-4

Petr Simecek

additivityTests: Additivity Tests in the Two Way Anova with Single Sub-class Numbers

Implementation of the Tukey, Mandel, Johnson-Graybill, LBI, Tusell and modified Tukey non-additivity tests.

Authors:Marie Simeckova [aut], Thomas Rusch [aut], Petr Simecek [cre]

# Install 'additivityTests' in R:

install.packages('additivityTests', repos = c('https://simecek.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

On CRAN:

Last updated from:0d29b86dec. Checks:7 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	NOTE	109
source / vignettes	OK	159
linux-release-x86_64	NOTE	104
macos-release-arm64	NOTE	166
macos-oldrel-arm64	NOTE	132
windows-devel	NOTE	92
windows-release	NOTE	118
windows-oldrel	NOTE	88
wasm-release	OK	81

Dependencies:

Testing for interaction in two-way ANOVA with no replication

Last update: 2014-01-17
Started: 2014-01-17

Help page	Topics
Additivity tests in the two way ANOVA with single sub-class numbers.	additivityTests-package additivityTests
Multi-headed Machine Data	Boik
Critical Values for the Johnson-Graybill, LBI and Tusell tests	critical.values
Johnson and Graybill Additivity Test	johnson.graybill.test
Locally Best Invariant (LBI) Additivity Test	lbi.test
Mandel Additivity Test	mandel.test
Modified Tukey Additivity Test	mtukey.test
Tukey Additivity Test	tukey.test
Tusell Additivity Test	tusell.test