Randomization-based inference in Python

Jackknife resampling, parameter estimation and stability test.

Generate error bars and perform binning analysis using jackknife or bootstrap resampling. Calculate average and error in quantum Monte Carlo data (or other data) and on functions of averages (such as fluctuations, skew, and kurtosis).

Supervisor : Dr. Bhaswati Ganguly

A toolkit for data analysis and handle data

Jackknife with R to estimate the bias of a statistic

This code implements the Jackknife resampling algorithm.