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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>.
| Version: | 1.0.1 |
| Depends: | R (≥ 4.0) |
| Imports: | ellipse, ggplot2, ggrepel, stats |
| Published: | 2025-09-01 |
| DOI: | 10.32614/CRAN.package.MultANOVA |
| Author: | Benjamin Mahieu [aut, cre], Veronique Cariou [aut] |
| Maintainer: | Benjamin Mahieu <benjamin.mahieu at oniris-nantes.fr> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| CRAN checks: | MultANOVA results |
| Reference manual: | MultANOVA.html , MultANOVA.pdf |
| Package source: | MultANOVA_1.0.1.tar.gz |
| Windows binaries: | r-devel: not available, r-release: MultANOVA_1.0.1.zip, r-oldrel: not available |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): MultANOVA_1.0.1.tgz, r-oldrel (x86_64): MultANOVA_1.0.1.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.