Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
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Updated
Nov 11, 2024 - HTML
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.
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
Tools for analyzing and quantifying effects of confounder variables on machine learning model predictions.
Statistical package for fast exact tests and simulations
R6-Based Flexible Framework for Permutation Tests
MLstatkit is a comprehensive Python library designed to seamlessly integrate established statistical methods into machine learning projects.
Topological Learning for Brain Networks (Annals of Applied Statistics; MICCAI 2021)
Permutation tests for MixedModels.jl
Permutation-Based FDR Point and Confidence Interval Estimation
📈 Comprehensive stock price analysis, including preprocessing, clustering, correlation, and predictive modeling, to enhance investment insights and accuracy. 💡
Easy-to-use collection of statistical methods and techniques, all written in R 🗂
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.
Testing hypothesis and building Confidence Intervals
Evaluate the effectiveness of treatment types for anorexia using T tests, permutation tests, and QQ-plots
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