There are 0 repository under permutation-test topic.
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
Randomization-based inference in Python
Python package for permutation tests, for statistics and machine learning.
An R/Bioconfuctor package for association analysis of genomic regions based on permutation tests
A MATLAB package for multivariate permutation testing and effect size measurement
A statistics package with a variety of bootstrap and other resampling tools
Machine learning tools for the analysis of systems serology data
Tools for analyzing and quantifying effects of confounder variables on machine learning model predictions.
Statistical package for fast exact tests and simulations
Permutation tests for MixedModels.jl
A simple R framework for permutation tests.
Topological Learning for Brain Networks (Annals of Applied Statistics; MICCAI 2021)
Easy-to-use collection of statistical methods and techniques, all written in R đź—‚
Permutation-Based FDR Point and Confidence Interval Estimation
A statistics package with a variety of bootstrap and other resampling tools. This repository is synced to the same-named repository owned by GNU-Octave. It exists to facilitate publication of the developmental version of the statistics-resampling toolbox at MathWorks FileExchange.
:a: :b: :copyright: An Implementation of the ABC permutation test using R and C++ for Computational Statistics course CM0527
MLstatkit is a comprehensive Python library designed to seamlessly integrate established statistical methods into machine learning projects.
Testing hypothesis and building Confidence Intervals
Permutation Test for Principal Components Analysis
Power Outage Data Analysis in USA
Permutation testing in single cell analysis
Nonparametric analysis of 2020 US presidential elections.
Analysis code and Latex source of the manuscript describing the conditional permutation test of confounding bias in predictive modelling.
The aim of this project is to apply different permutation tests on different datasets alongside checking their accuracy and flaws. This project was part of my thesis under the supervision of Dr. Bahrak at the University of Tehran.
In this project, we analyze differences in performance metrics for collegiate basketball teams that have qualified for March Madness versus those that have not using a variety of Monte Carlo Simulation methods in R.
Program Evaluation with Non-Parametric Statistics and Hypothesis Testing
r code for permutation tests
This is my senior project for my data science degree at Belmont University where I will be looking at the effect of the MLB Pitch Clock on pitcher's performance.
The purpose of this inferential analysis project is to determine the impact of regulations on handheld devices while driving.
Detect anomalies in time series data via permutation
Applies natural language processing techniques to political speech topic modeling using Python & permutation tests using R
This was an experiment of a 2-sample permutation or randomization T-test with a small pre-and post-survey. The client had a small sample (n<30) and the experiment informed the research results.
This is the code of a group university project on insurance premiums I took part in. Nonparametric statistics has been used for the data analysis and a shiny app has been implemented to show health insurance premium predictions. I thank Anna Iob, Martina Garavaglia and Veronica Mazzola who have partecipated in the project realisation.