adjustments of p-values for multiple comparisons
This is a JavaScript library for adjusting p-values in multiple hypothesis testing scenarios, providing methods like Bonferroni correction, false discovery rate (FDR), and Benjamini-Yekutieli adjustments. It's designed for data scientists, researchers, and developers working with statistical analysis who need to control for Type I errors when conducting multiple comparisons.
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