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
**curve_fit_utils** is a Python module containing useful tools for curve fitting
Elastic-net VARMA: hyperparameter optimisation, estimation and forecasting
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.
Iris dataset
Lattice QCD analysis code for data generated by GLAC
This code implements the Jackknife resampling algorithm.
Tools for julia programming of statistical analysis
Analysis of Predictive inference with jackknife+, a new method for creating prediction intervals with stronger coverage guarantees
DNN codes of ProteenPhage Paper
Jackknife instrumental variables estimation (JAE, 2010)
Jackknife and Bootstrap resampling and estimation in R
Framework-agnostic Jackknife estimation utilities for statistical modeling.
Add a description, image, and links to the jackknife topic page so that developers can more easily learn about it.
To associate your repository with the jackknife topic, visit your repo's landing page and select "manage topics."