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: 2026-03-13 13:05:15 UTC; benjamin.mahieu
Author: Benjamin Mahieu [aut, cre],
  Veronique Cariou [aut]
Maintainer: Benjamin Mahieu <benjamin.mahieu@oniris-nantes.fr>
Repository: CRAN
Date/Publication: 2026-03-13 13:20:08 UTC
Built: R 4.6.0; ; 2026-04-28 19:37:55 UTC; unix
