Enhancing {ggplot2} plots with statistical analysis 📊📣
Statistical package in Python based on Pandas
🐉 Compute and work with indices of effect size and standardized parameters
This repository contains analysis of churn in telephone service company (using IV and WOE), comparison of effect size and information value and quick tutorial how to use information value module (created for this analysis).
The Scott-Knott Effect Size Difference (ESD) test
Collection of Matlab functions for the computation of measures of effect size
A Python package for computing effect sizes
A MATLAB package for multivariate permutation testing and effect size measurement
An R package for visualizing comparison between two distributions.
Ranger helps you see the forest among the trees - Ranger is an effect-size meta analysis library creating beautiful forest plots!
Calculating robust effect sizes using bootstrap (resampling) technique in R.
Interpret effects and visualise uncertainty
Effect size measures
This repo is no longer being maintained. See this repo instead: https://github.com/hauselin/esconvert
Basic Analytical Statistics with Excel [Spreadsheets]
Estimation Approach to Statistical Inference [R Package]
More Meaningful Measurements: Effect Sizes and Confidence Intervals for Proportions using Python
This code is an implementation of the A statistic, otherwise known as the probability of superiority, in SAS. The A statistic is a non-parametric form of the common language effect-size. Both it and its counterpart, RProbSup, are available at the website linked below.
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