Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
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Updated
Sep 21, 2026 - HTML
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
Randomization-based inference in Python
MLstatkit is a comprehensive Python library designed to seamlessly integrate established statistical methods into machine learning projects.
Python package for permutation tests, for statistics and machine learning.
A MATLAB package for multivariate permutation testing and effect size measurement
An R/Bioconfuctor package for association analysis of genomic regions based on permutation tests
A statistics package with a variety of bootstrap and other resampling tools
Machine learning tools for the analysis of systems serology data
Topological Learning for Brain Networks (Annals of Applied Statistics; MICCAI 2021)
Statistical package for fast exact tests and simulations
Tools for analyzing and quantifying effects of confounder variables on machine learning model predictions.
'R6'-Based Flexible Framework for Permutation Tests
Power Outage Data Analysis in USA
Permutation-Based FDR Point and Confidence Interval Estimation
Permutation tests for MixedModels.jl
Is your backtest real? Deflated Sharpe Ratio, backtest-overfitting (PBO) and lookahead checks with measured false-positive rates. Works with vectorbt, backtesting.py and TradingView.
Easy-to-use collection of statistical methods and techniques, all written in R 🗂
Testing hypothesis and building Confidence Intervals
Mathematical and statistical applications for HP Prime.
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