Showing 5 of total 5 results (show query)
easystats
effectsize:Indices of Effect Size
Provide utilities to work with indices of effect size for a wide variety of models and hypothesis tests (see list of supported models using the function 'insight::supported_models()'), allowing computation of and conversion between indices such as Cohen's d, r, odds, etc. References: Ben-Shachar et al. (2020) <doi:10.21105/joss.02815>.
Maintained by Mattan S. Ben-Shachar. Last updated 1 days ago.
anovacohens-dcomputeconversioncorrelationeffect-sizeeffectsizehacktoberfesthedges-ginterpretationstandardizationstandardizedstatistics
345 stars 16.45 score 1.8k scripts 29 dependents
indrajeetpatil
ggstatsplot:'ggplot2' Based Plots with Statistical Details
Extension of 'ggplot2', 'ggstatsplot' creates graphics with details from statistical tests included in the plots themselves. It provides an easier syntax to generate information-rich plots for statistical analysis of continuous (violin plots, scatterplots, histograms, dot plots, dot-and-whisker plots) or categorical (pie and bar charts) data. Currently, it supports the most common types of statistical approaches and tests: parametric, nonparametric, robust, and Bayesian versions of t-test/ANOVA, correlation analyses, contingency table analysis, meta-analysis, and regression analyses. References: Patil (2021) <doi:10.21105/joss.03236>.
Maintained by Indrajeet Patil. Last updated 1 months ago.
bayes-factorsdatasciencedatavizeffect-sizeggplot-extensionhypothesis-testingnon-parametric-statisticsregression-modelsstatistical-analysis
2.1k stars 14.46 score 3.0k scripts 1 dependents
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>].
Maintained by Chakkrit Tantithamthavorn. Last updated 2 years ago.
defect-prediction-modelseffect-sizemultiple-comparisonsranking-algorithmscott-knottstatistical-tests
43 stars 5.77 score 68 scripts
dgerlanc
bootES:Bootstrap Confidence Intervals on Effect Sizes
Calculate robust measures of effect sizes using the bootstrap.
Maintained by Daniel Gerlanc. Last updated 5 months ago.
bootstrapping-statisticseffect-sizesocial-sciencesstatistics
11 stars 5.63 score 62 scripts
inbo
effectclass:Classification and Visualisation of Effects
Classify effects by comparing the confidence intervals with thresholds.
Maintained by Thierry Onkelinx. Last updated 10 months ago.
6 stars 5.30 score 37 scripts 1 dependents