A Julia package for Univariate and Multiple Comparisons Statistical Hypothesis Testing by Data Permutation
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Updated
Nov 1, 2026 - Julia
A Julia package for Univariate and Multiple Comparisons Statistical Hypothesis Testing by Data Permutation
Archived 2022 master’s thesis on permutation tests for equality of distributions of functional data, with R simulations and an electricity-demand application.
Reproduction package for the methods paper: Common calibration is not a common estimand (OHIE illustration).
Supplementary Python code for the Ishango Bone paper, DOI 10.48550/arXiv.2504.06412: permutation analyses and exhaustive reconstruction sensitivity analysis.
An exact combinatorial distribution library for bounded two-label assignments within fixed strata, using dynamic programming and convolution to return integer masses and exact rational tail counts.
Statistical inference lab for bootstrap confidence intervals and permutation tests with reproducible examples.
Directional Methylation Set Analysis — aligns probe-level DNA methylation effects to their predicted consequence for gene expression before aggregation, and names the responsible gene inside level-local families with family-wise error control.
Julia package for cluster-based permutation tests
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