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

Analysis of Predictive inference with jackknife+, a new method for creating prediction intervals with stronger coverage guarantees

Lattice QCD analysis code for data generated by GLAC

Tools for julia programming of statistical analysis

DNN codes of ProteenPhage Paper

Make angular jackknife resampling regions.

Jackknife instrumental variables estimation (JAE, 2010)

Jackknife and Bootstrap resampling and estimation in R

Framework-agnostic Jackknife estimation utilities for statistical modeling.

This code implements the Jackknife resampling algorithm.

Sampling and resampling techniques for random sample generation, estimation, and simulation

Code for an R package to implement instrumental variables procedures that are robust to many & weak instruments.