Package: onewaytests
Type: Package
Title: One-Way Tests in Independent Groups Designs
Version: 3.2
Date: 2026-10-13
Depends: R (>= 3.2.0)
Imports: stats, moments, car, ggplot2, nortest, graphics, utils,
        wesanderson
Suggests: AID, tibble, testthat
Authors@R: c(person(given = "Osman", family = "Dag", role = c("aut", "cre"), email = "osman.dag@hacettepe.edu.tr"), person(given = "Merve", family = "Kasikci", role = "aut"), person(given = "Anil", family = "Dolgun", role = "aut"), person(given = c("N.", "Meric"), family = "Konar", role = "aut"), person(given = "Sam", family = "Weerahandi", role = "aut"), person(given = "Malwane", family = "Ananda", role = "aut"), person(given = c("H.", "Erkin"), family = "Sulekli", role = "aut"))
Author: Osman Dag [aut, cre], Merve Kasikci [aut], Anil Dolgun [aut],
        N. Meric Konar [aut], Sam Weerahandi [aut], Malwane Ananda
        [aut], H. Erkin Sulekli [aut]
Maintainer: Osman Dag <osman.dag@hacettepe.edu.tr>
Description: Performs one-way tests for independent groups designs
        under homoscedasticity and heteroscedasticity. The tests
        described by Dag et al. (2018) <doi:10.32614/RJ-2018-022>
        include one-way analysis of variance (ANOVA), Welch's
        heteroscedastic F test, Welch's heteroscedastic F test with
        trimmed means and Winsorized variances, Brown-Forsythe test,
        Alexander-Govern test, James second-order test, and
        Kruskal-Wallis test. Additional tests described by Kasikci et
        al. (2026) <doi:10.32614/RJ-2026-014> include Scott-Smith test,
        Box F test, Johansen F test, generalized tests equivalent to
        parametric bootstrap and fiducial tests, Alvandi's F test,
        Alvandi's generalized p-value, approximate F test, B square
        test, Cochran test, Weerahandi's generalized F test, modified
        Brown-Forsythe test, adjusted Welch's heteroscedastic F test,
        Welch-Aspin test, and permutation F test. The package also
        provides pairwise comparisons and graphical methods, as well as
        Student's t test, Welch's t test, and Mann-Whitney U test for
        two independent samples. It assesses variance homogeneity and
        within-group normality using tests and plots.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2026-11-12 14:07:33 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2026-10-13 16:08:33 UTC
RemoteUrl: https://github.com/cran/onewaytests
RemoteRef: HEAD
RemoteSha: 01bb1b7bcbad2a3b07396f5d75da2e8e31c72533