Randomization-based inference in Python

R package cross-validation, bootstrap, permutation, and rolling window resampling techniques for the tidyverse.

Jackknife resampling and estimation in Julia

ESI Knife

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

Elastic-net VARMA: hyperparameter optimisation, estimation and forecasting

jackknife的子项目——自动设置布局、绑定控件、注册事件，请务必使用2.6.2版本

JackKnife is a Network Defense Tool Repository for Powershell. It is made up multiple powershell scripts I've made or borrowed to make work easier

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).

Jackknife resampling, parameter estimation and stability test.

RBH-1 Validation & Reanalysis is an independent validation study of the extraordinary RBH-1 linear feature (van Dokkum et al. 2025), interpreted as a 62 kpc supersonic bow shock from a hypervelocity supermassive black hole ejected at ~1000 km/s.

Iris dataset

Jackknife instrumental variables estimation (JAE, 2010)

Tools for julia programming of statistical analysis

Lattice QCD analysis code for data generated by GLAC

DNN codes of ProteenPhage Paper

End-to-end Python implementation of Dickerson, Mueller & Robotti (JFE 2023). Implements Dick-Nielsen TRACE cleaning, KRS misspecification-robust two-pass CSR, BKRS jackknife bias-corrected Sharpe ratios, and Fama-MacBeth regressions to rigorously identify priced risk factors in U.S. corporate bonds. Prevents false discoveries.

Jackknife and Bootstrap resampling and estimation in R

This code implements the Jackknife resampling algorithm.

Framework-agnostic Jackknife estimation utilities for statistical modeling.