Statistical package in Python based on Pandas
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Updated
Sep 9, 2026 - Python
Statistical package in Python based on Pandas
Clustering routines for the unit sphere
Statistics for high-dimensional data (homogeneity, sphericity, independence, spherical uniformity)
Implementation of uniformity tests on the circle and (hyper)sphere, with a C++ core. The package allows the replication of the data application in "On a projection-based class of uniformity tests on the hypersphere"
CircHist - circular / polar / angle histogram in MATLAB
The Header-Only Library For Random Forests
Statistical tools for toroidal diffusions. Software companion for "Langevin diffusions on the torus: estimation and applications"
Spatial and Spatio-Temporal Bayesian Model for Circular Data
The Hermans-Rasson test for non-uniformity of circular data.
PCA on the torus using density ridges. Software companion for "Toroidal PCA via density ridges"
Statistical methods for circular and directional data analysis.
Estimation of the orientation of fibres in a volume
🔵 Exact Distributions and Performance of some Two-sample Nonparametric Tests for Circular Data
Kernel density estimation on the polysphere, hypersphere, and circle. Includes functions for density estimation, regression estimation, ridge estimation, bandwidth selection, kernels, samplers, and homogeneity tests
Tests for rotational symmetry on the hypersphere. Software companion for "On optimal tests for rotational symmetry against new classes of hyperspherical distributions"
R package and web app to explore and visualize tracks and headings in polar space
Some few methods in Java and Python I picked along the way in my research on the subject.
Parked lab, not a pinned face. Falsifiable clone-shard / flux-flywheel tree test on Fichte and Buche. Living first-order Δφ; H0/H111/H120/H137. No TOE claim.
A ggplot2 extension for circular, axial and directional data.
Periodic mixture aka Mixture of Wrapped Normal Distributions. Circular Bayesian Statistics.
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