The Non-Parametric Scott-Knott Effect Size Difference (ESD) test is a mean comparison approach that leverages a hierarchical clustering to partition the set of treatment means (e.g., means of variable importance scores, means of model performance) into statistically distinct groups with non-negligible difference [Tantithamthavorn et al., (2018) <doi:10.1109/TSE.2018.2794977>].
Package details |
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Author | Chakkrit Tantithamthavorn |
Maintainer | Chakkrit Tantithamthavorn <chakkrit@monash.edu> |
License | GPL (>= 2) + file LICENSE |
Version | 3.0.0 |
URL | https://github.com/klainfo/ScottKnottESD |
Package repository | View on GitHub |
Installation |
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