An implementation of multivariate projection pursuit regression and univariate classification

A set of half automated MATLAB scripts for performing analysis of thermal data (TGA, DSC) and obtaining a kinetic triplet for every reaction stage

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.

An implementation of Multivariate Adaptive Regression Splines

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

Easy statistical testing on the web

This repository provides a practical implementation of the Friedman and Nemenyi statistical tests specifically tailored for multi-label classification problems. These techniques are essential for evaluating and comparing the performance of multiple algorithms in experiments where each instance may belong to several classes simultaneously.

An R package implementing MARS algorithm and methods as given in Friedman's paper

R file that analyses data according to an RCB, Friedman's test and Blocking

Statistical tests for detecting shared privacy concerns of bystander and visually impaired people.

Continuation to Data Analysis using more mathematical approach.

Implementação de modelos de regressão e classificação construídos do zero usando apenas NumPy — OLS, regularização de Tikhonov e classificadores Gaussianos (QDA, LDA, Naive Bayes, Friedman) aplicados à previsão de energia eólica e reconhecimento de EMG facial, validados com simulação de Monte Carlo.