wilcoxon-test

Critical difference diagram with Wilcoxon-Holm post-hoc analysis.

R package for computing multiple hypothesis tests on rows/columns of a matrix or a data.frame

Conformal Inference tools using python

Typing dynamics project of the machine learning discipline.

Easy statistical testing on the web

Perform a STEP by STEP multiple mean comparison analysis on R

A reproducible, data-centric benchmarking framework evaluating the robustness of tabular machine learning models under systematic feature shift using OpenML-CC18 datasets and automated feature engineering.

A Graph-Augmented Retrieval Framework for Indian Legal Judgments using Structure-Aware Chunking, Region-Aware Metadata Extraction, Bipartite Citation Graphs, and Hybrid Dense-Graph Ranking.

A clustering evaluation framework that combines micro- and macro-averaged silhouette scores into a composite metric using statistical weighting.

This is function for Wilcoxon non-parametric test written in R software. It can be easily used with an simple excel spreadsheet as well in order to speed up analysis.

Como descrever meus dados? Quais testes estatísticos devo usar? Síntese dos testes estatísticos (introdutórios) que podem ser usados em uma análise de dados em saúde.

Testing the power of normality tests for a mixture of two normal distributions and the power of Wilcoxon test for a mixture of two Poisson distributions

The salary dataset contains info on 474 Midwestern bank employees. Tasks include understanding the dataset's structure, summarizing numerical variables, testing hypotheses on salary equality, gender-based differences, age group analysis, and proportion comparison.

Parametrik olmayan istatistiksel yöntemler dersinin ödevi

Here I've Developed Ant Colony Optimization with iteration-based dynamic evaporation rate with the algorithm's pheromone decay rate increasing with iterations. I also Recorded improved convergence on CEC benchmarks and engineering problems and validated gains via Wilcoxon tests.

various experiments, extractiong methods, classificators and preprocessing methods, with latex tables generator.

Performing Statistical Tests and Analysis in R

Frequency Table, Chi-Squared & ANOVA Test, KM Model, Median Time Comparison, Log-Rank & Wilcoxon Test, Tukey Multiple Comparison, Immortal Time Bias, Cox Model, Proportional Hazards Assumption Tests, Supremum Test for Functional Form. *NCDB data is publicly available. Team members: Kah Meng Soh, Dr. Lynette Smith, Dr. Sharma Smriti, Dr. Apar Ganti.

This project explores how we can predict whether a student is likely to graduate, drop out, or stay enrolled . We used powerful ensemble learning models like XGBoost, AdaBoost, and CatBoost and fine tuned them to get the best results. To make sure our improvements were real , we ran hypothesis tests and the Wilcoxon signed-rank test.

Create fake 2-sample Likert data, and analyze with some tests.