DNN codes of ProteenPhage Paper
-
Updated
Feb 15, 2019 - Python
DNN codes of ProteenPhage Paper
Analysis of Predictive inference with jackknife+, a new method for creating prediction intervals with stronger coverage guarantees
Iris dataset
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
Code for an R package to implement instrumental variables procedures that are robust to many & weak instruments.
Lattice QCD analysis code for data generated by GLAC
Jackknife resampling, parameter estimation and stability test.
Sampling and resampling techniques for random sample generation, estimation, and simulation
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 is a Network Defense Tool Repository for Powershell. It is made up multiple powershell scripts I've made or borrowed to make work easier
R package cross-validation, bootstrap, permutation, and rolling window resampling techniques for the tidyverse.
Elastic-net VARMA: hyperparameter optimisation, estimation and forecasting
**curve_fit_utils** is a Python module containing useful tools for curve fitting
Jackknife resampling and estimation in Julia
Randomization-based inference in Python
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."