Randomization-based inference in Python
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Updated
Jul 22, 2024 - Python
Randomization-based inference in Python
**curve_fit_utils** is a Python module containing useful tools for curve fitting
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).
Lattice QCD analysis code for data generated by GLAC
DNN codes of ProteenPhage Paper
Analysis of Predictive inference with jackknife+, a new method for creating prediction intervals with stronger coverage guarantees
Sampling and resampling techniques for random sample generation, estimation, and simulation
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