Library for bootstrapping statistics
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Updated
Nov 25, 2017 - Python
Library for bootstrapping statistics
Correlation coefficients with uncertainties
Resampling-Based Hypothesis Testing for Python
A fast implementation of bootstrapping supporting multi-columns data.
Calculate confidence intervals for correlation coefficients
The code for a snappy streamlit app demonstrating the statistics behind bootstrapping
Monte carlo calculation of Spearman's rank correlation coefficient with uncertainties. Following Curran (2014)
Nonparametric comparison of convolutional neural networks and transformers to classify COVID-19
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