A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
Shiny App for comparison of samples
A MATLAB package for multivariate permutation testing and effect size measurement
Case Studies and Projects in Machine Learning/EDA/DL
PlotTwist - a web app for plotting and annotating time-series data
Linear Regression with errors in both X and Y, correlated or not, confidence intervals and plots.
🏠 This repository contains data analysis scripts for the 2022 American Community Survey (ACS) focusing on individuals aged 25 and over in North Carolina, based on 75,340 observations. This repository offers valuable insights into demographic and economic patterns across North Carolina's urban areas.
Free WordPress Plugin: Calculate the exact sample size and margin of error for your next survey or study. Use our free Sample Size Calculator for statistically accurate results. www.calculator.io/sample-size-calculator/
A comprehensive module used to calculate the high bound, low bound, and center of a Wilson score interval.
about statistical techniques for Data Science
Utility functions for statistical population samples.
CLI micro- and macro-benchmarking for Node, Deno, and Bun — hot loops, ms-scale operations, and whole commands — with nonparametric statistics and significance testing.
Moderation, mediation, and moderated mediation in structural equation modeling and multiple regression
MSc Dissertation: Estimating Uncertainty in Machine Learning Models for Drug Discovery
More Meaningful Measurements: Effect Sizes and Confidence Intervals for Proportions using Python
Calculate confidence intervals for correlation coefficients
Use bootstrap resampling to estimate the sampling distribution of a statistic
Statistically rigorous LLM evaluation for pytest — treats every eval as a proportion with a Wilson confidence interval, returns PASS/FAIL/INCONCLUSIVE instead of flaky booleans, and gates CI regressions with a two-proportion z-test. Stdlib-only, model-agnostic.
Package provides python implementation of statistical inference engine
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