ScottKnottESD: The Scott-Knott Effect Size Difference (ESD) Test

The 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>].

Version: 2.0.3
Depends: reshape2, effsize, stats, car
Imports: forecast
Published: 2018-05-08
Author: Chakkrit Tantithamthavorn
Maintainer: Chakkrit Tantithamthavorn <kla at chakkrit.com>
BugReports: https://github.com/klainfo/ScottKnottESD/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
Copyright: see file COPYRIGHTS
URL: https://github.com/klainfo/ScottKnottESD
NeedsCompilation: no
Materials: README
CRAN checks: ScottKnottESD results

Downloads:

Reference manual: ScottKnottESD.pdf
Package source: ScottKnottESD_2.0.3.tar.gz
Windows binaries: r-devel: ScottKnottESD_2.0.3.zip, r-release: ScottKnottESD_2.0.3.zip, r-oldrel: ScottKnottESD_2.0.3.zip
macOS binaries: r-release (arm64): ScottKnottESD_2.0.3.tgz, r-release (x86_64): ScottKnottESD_2.0.3.tgz, r-oldrel: ScottKnottESD_2.0.3.tgz
Old sources: ScottKnottESD archive

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