A scikit-learn-compatible module for estimating prediction intervals.

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

📊 Computation and processing of models' parameters

Conformal classifiers, regressors and predictive systems

A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.

Explore "Statistics" and "Probability Theory" Concepts and Their Implementations in "Python"

Statistical bootstrapping library for Julia

Randomization-based inference in Python

Robust statistics in Python

Bringing back uncertainty to machine learning.

Honest inference in regression discontinuity designs

Statistical functions based on bootstrapping for computing confidence intervals and p-values comparing machine learning models and human readers

PyTorch Code for running various time series models for different time stamps and confidence intervals for Solar Irradiance prediction.

Collection of Artificial Intelligence Algorithms implemented on various problems

An R-Package to estimate and plot confounder-adjusted survival curves (single event survival data) and confounder-adjusted cumulative incidence functions (data with competing risks) using various methods.

Wilson score interval implemented in javascript

Collection of Matlab functions for the computation of measures of effect size

Computationally efficient confidence intervals for cross-validated AUC estimates in R

Library for bootstrapping statistics

A repository for the 'concurve' R package which generates confidence distributions and likelihood functions. Includes documentation on how to do produce similar graphs for Stata.