Package: ScottKnottESD 3.0.0
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>].
Authors:
ScottKnottESD_3.0.0.tar.gz
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ScottKnottESD.pdf |ScottKnottESD.html✨
ScottKnottESD/json (API)
# Install 'ScottKnottESD' in R: |
install.packages('ScottKnottESD', repos = c('https://klainfo.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/klainfo/scottknottesd/issues
defect-prediction-modelseffect-sizemultiple-comparisonsranking-algorithmscott-knottstatistical-tests
Last updated 2 years agofrom:401664099a. Checks:OK: 1 WARNING: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 19 2024 |
R-4.5-win | WARNING | Nov 19 2024 |
R-4.5-linux | WARNING | Nov 19 2024 |
R-4.4-win | WARNING | Nov 19 2024 |
R-4.4-mac | WARNING | Nov 19 2024 |
R-4.3-win | WARNING | Nov 19 2024 |
R-4.3-mac | WARNING | Nov 19 2024 |
Exports:check.ANOVA.assumptionscheckDifferencelong2widenormalizesk_esd
Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecowplotcpp11curlDerivdoBydplyreffsizefansifarverforecastFormulafracdiffgenericsggplot2gluegtableisobandjsonlitelabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigplyrpurrrquadprogquantmodquantregR6RColorBrewerRcppRcppArmadilloRcppEigenreshape2rlangscalesSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDatetseriesTTRurcautf8vctrsviridisLitewithrxtszoo
Readme and manuals
Help Manual
Help page | Topics |
---|---|
The Scott-Knott Effect Size Difference (ESD) Test | ScottKnottESD-package ScottKnottESD |
Check basic ANOVA assumptions | "check.ANOVA.assumptions" check.ANOVA.assumptions |
Convert data from long format to wide format | "long2wide" long2wide |
Normalize non-normal distributions using the Box-Cox Power Transformation | "normalize" normalize |
An example dataset of Breiman's variable importance scores | example |
An example dataset of Breiman's variable importance scores | maven |
Print sk_esd objects | print.sk_esd |
A function to check the magnitude of the difference for all pairs of treatments | checkDifference SK.ESD sk_esd |