Enhancing `ggplot2` plots with statistical analysis 📊🎨📣

Statistical package in Python based on Pandas

🐉 Compute and work with indices of effect size and standardized parameters

MAVIS: Meta Analysis via Shiny

Collection of Matlab functions for the computation of measures of effect size

The Scott-Knott Effect Size Difference (ESD) test

Effect Size Computation for Meta Analysis

An R package for visualizing comparison between two distributions.

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).

This repo is no longer being maintained. See this repo instead: https://github.com/hauselin/esconvert

Interpret effects and visualise uncertainty

Estimation Approach to Statistical Inference: An R Package for Estimation Statistics

Effect size measures

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.

Exploring the bias and cis for cohen's d

Identifying and avoiding common misinterpretations in using statistics

Computation and visualization of standardized mean differences from simulated data

Shiny App for comparison of samples and plotting effect size

Tidy Data Frames of Marginal Effects for ggplot2

Magnitude of the Effect - An Effect Size and CI calculator

A Shiny R web application to estimate differences in diagnostic efficiency based on differences between single-condition cases.

Shiny App for comparison of samples