wilcoxon

writR: is an R package for automated inferential testing (for group differences) and reporting based on parametric assumptions, which are tested automatically for test selection.

Lightweight GPU-only Mann–Whitney U differential expression for single-cell CRISPR perturbation screens

📊 Statistical analyzers to provide more robust comparisons between Machine Learning techniques.

Distribution of Wilcoxon signed rank test statistic.

Wilcoxon signed rank test statistic probability density function (PDF).

Wilcoxon signed rank test statistic cumulative distribution function (CDF).

Comparison of MOEAs with statistical methods.

Wilcoxon signed rank test statistic quantile function.

This repository contains the complete R code and simulation framework for a Master's dissertation investigating the application of Le Cam's lemma to two-sample location problems.

Hybrid calibration study: quick-test (2 seeds) Wilcoxon all p=0.5, reported honestly; deep-dive tables lag latest JSONs.

Analysis of two variables by nonparametric method

The Wilcoxon Test Suite is a comprehensive set of R scripts designed for conducting non-parametric Wilcoxon tests across multiple datasets.

Selected R-based tutorials from MMG3002Y (Biological Statistics)

Methods for extracting device data and Data analysis with Shapiro-Wilk, Paired T Test + Cohen's D, Wilcoxon + Rank bisserial Correlation.

Statistics on App usage data