A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.

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

Python package for conformal prediction

:bar_chart: Computation and processing of models' parameters

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

A comprehensive exploration of Statistics and Probability Theory concepts, with practical implementations in Python

Statistical bootstrapping library for Julia

Randomization-based inference in Python

Robust statistics in Python

Honest inference in regression discontinuity designs

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

Bringing back uncertainty to machine learning.

Methods for computational information geometry

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

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.

Collection of Artificial Intelligence Algorithms implemented on various problems

LikelihoodProfiler is a Julia package for practical identifiability analysis and confidence intervals estimation.

Wilson score interval implemented in javascript

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

Adaptive Conformal Prediction Intervals (ACPI) is a Python package that enhances the Predictive Intervals provided by the split conformal approach by employing a weighting strategy.

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

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.

Library for bootstrapping statistics

R package for calculation of standard and bootstrap confidence intervals

Methods for profile likelihood analysis.

Repository for the online book "Guide to Effect Sizes and Confidence Intervals"

Precision Based Sample Size Calculation

**curve_fit_utils** is a Python module containing useful tools for curve fitting

This Repository Contains R-Codes executed on various Datasets in RStudio. I Hope This Repository is very helpful for those who are Willing to build their Career in Data Science, Big Data.

Statistical evaluation framework for AI agents