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 |
DOI: | 10.32614/CRAN.package.ScottKnottESD |
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 |
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-oldrel (arm64): ScottKnottESD_2.0.3.tgz, r-release (x86_64): ScottKnottESD_2.0.3.tgz, r-oldrel (x86_64): ScottKnottESD_2.0.3.tgz |
Old sources: | ScottKnottESD archive |
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