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Randomization-based inference in Python
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).
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
Sampling and resampling techniques for random sample generation, estimation, and simulation
:exclamation: This is a modified version of the CRAN R package repository. bife — Binary Choice Models with Fixed Effects
Jackknife instrumental variables estimation (JAE, 2010)
Jackknife and Bootstrap resampling and estimation in R
Code for an R package to implement instrumental variables procedures that are robust to many & weak instruments.
DNN codes of ProteenPhage Paper
This code implements the Jackknife resampling algorithm.