klainfo/ScottKnottESD: The Non-Parametric Scott-Knott Effect Size Difference (ESD) Test

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>].

Getting started

Package details

AuthorChakkrit Tantithamthavorn
MaintainerChakkrit Tantithamthavorn <chakkrit@monash.edu>
LicenseGPL (>= 2) + file LICENSE
Version3.0.0
URL https://github.com/klainfo/ScottKnottESD
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("klainfo/ScottKnottESD")
klainfo/ScottKnottESD documentation built on Feb. 15, 2023, 5:46 a.m.