There are 1 repository under effect-size topic.
Enhancing {ggplot2} plots with statistical analysis 📊📣
Statistical package in Python based on Pandas
:dragon: 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
Ranger helps you see the forest among the trees - Ranger is an effect-size meta analysis library creating beautiful forest plots!
Effect size measures
This repo is no longer being maintained. See this repo instead: https://github.com/hauselin/esconvert
More Meaningful Measurements: Effect Sizes and Confidence Intervals for Proportions using Python
This script computes two indices of effect size for pairwise comparisons based on the Mann Whitney U statistic.
Two sample data analysis method that tests for negligible and meaningful effect sizes (through difference in means)
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.
Social studies lab dedicated to preferences between NA and EU in board games
Effect-Size-Based Meta-Analysis for Multi-Dataset Evaluation of RecSys Experiments
A Shiny R web application to estimate differences in diagnostic efficiency based on differences between single-condition cases.
Computation and visualization of standardized mean differences from simulated data
Identifying and avoiding common misinterpretations in using statistics