MultANOVA
1.1.0Analysis of Designed High-Dimensional Data using the Comprehensive MultANOVA Framework
Overview
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.
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- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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Code & Tests
- Cyclomatic complexity
- 24.0 median / 39 max
- Documented parameters
- 100%
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
5 4 exported
Complexity
26 avg / 39 max
Call network
5 nodes / 0 edges
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Open call graph →Lowest coverage
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People & History
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 1.1.0Latest
- 1.0.12026-03-10
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2025-09-01
- Total releases
- 2 / 1 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 4.5.0
- Bundled data
- 33 KB / 1 file
- Download size
- 47 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet