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
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).
Iris dataset
Analysis of Predictive inference with jackknife+, a new method for creating prediction intervals with stronger coverage guarantees
Tools for julia programming of statistical analysis
Lattice QCD analysis code for data generated by GLAC
DNN codes of ProteenPhage Paper
Jackknife and Bootstrap resampling and estimation in R
Jackknife instrumental variables estimation (JAE, 2010)
This code implements the Jackknife resampling algorithm.
❗ This is a modified version of the CRAN R package repository. bife — Binary Choice Models with Fixed Effects
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