Package: MultANOVA
Title: Analysis of Designed High-Dimensional Data using the
        Comprehensive MultANOVA Framework
Version: 1.1.0
Authors@R: 
    c(person(given = "Benjamin",family = "Mahieu",role = c("aut","cre"),email = "benjamin.mahieu@oniris-nantes.fr"),
    person(given = "Veronique",family = "Cariou",role = c("aut"),email = "veronique.cariou@oniris-nantes.fr"))
Description: A comprehensive and computationally fast framework to
        analyze high dimensional data associated with an experimental
        design based on Multiple ANOVAs (MultANOVA). It includes
        testing the overall significance of terms in the model,
        post-hoc analyses of significant terms and variable selection.
        Details may be found in Mahieu, B., & Cariou, V. (2025).
        MultANOVA Followed by Post Hoc Analyses for Designed
        High‐Dimensional Data: A Comprehensive Framework That
        Outperforms ASCA, rMANOVA, and VASCA. Journal of Chemometrics,
        39(7). <doi:10.1002/cem.70039>.
License: GPL (>= 3)
Encoding: UTF-8
RoxygenNote: 7.3.3
Depends: R (>= 4.5.0)
LazyData: false
Imports: ellipse, ggplot2, ggrepel, stats
NeedsCompilation: no
Packaged: 2026-06-11 07:26:25 UTC; root
Author: Benjamin Mahieu [aut, cre], Veronique Cariou [aut]
Maintainer: Benjamin Mahieu <benjamin.mahieu@oniris-nantes.fr>
Repository: https://bmahieuoniris.r-universe.dev
Date/Publication: 2026-03-13 13:20:08 UTC
RemoteUrl: https://github.com/cran/MultANOVA
RemoteRef: HEAD
RemoteSha: dc0d2a5957d697231238f8027b73dfd4d1afa8be