Package: GAD
Title: Analysis of Variance from General Principles
Version: 2.0
Depends: R (>= 3.0)
Imports: matrixStats
Authors@R: c(
  person(given = "Leonardo", family = "Sandrini-Neto", email = "leonardosandrini@ufpr.br", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-4086-6741")),
  person(given = "Eliandro", family = "Gilbert", email = "eliandrogilbert@gmail.com", role = "aut"),
  person(given = "Maurício", family = "Camargo", email = "mauricio.camargo@furg.br", role = "aut", comment = c(ORCID = "0000-0002-8827-1176"))
  )
Description: Analysis of complex ANOVA models with any combination of
        orthogonal/nested and fixed/random factors, as described by
        Underwood (1997). There are two restrictions: (i) data must be
        balanced; (ii) fixed nested factors are not allowed.
        Homogeneity of variances is checked using Cochran's C test and
        'a posteriori' comparisons of means are done using
        Student-Newman-Keuls (SNK) procedure. For those terms with no
        denominator in the F-ratio calculation, pooled mean squares and
        quasi F-ratios are provided. Magnitute of effects are assessed
        by components of variation.
License: GPL (>= 3)
Encoding: UTF-8
RoxygenNote: 7.3.1
NeedsCompilation: no
Packaged: 2026-10-07 12:32:27 UTC; root
Author: Leonardo Sandrini-Neto [aut, cre]
        (<https://orcid.org/0000-0003-4086-6741>), Eliandro Gilbert
        [aut], Maurício Camargo [aut]
        (<https://orcid.org/0000-0002-8827-1176>)
Maintainer: Leonardo Sandrini-Neto <leonardosandrini@ufpr.br>
Repository: https://cran.r-universe.dev
Date/Publication: 2024-05-02 02:34:45 UTC
RemoteUrl: https://github.com/cran/GAD
RemoteRef: HEAD
RemoteSha: 3a4130d2338f125e5f38201497692ea5e805b5f8