Statistical package in Python based on Pandas
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Updated
Mar 14, 2025 - Python
Statistical package in Python based on Pandas
Clustering routines for the unit sphere
Statistics for high-dimensional data (homogeneity, sphericity, independence, spherical uniformity)
CircHist - circular / polar / angle histogram in MATLAB
The Header-Only Library For Random Forests
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"
Spatial and Spatio-Temporal Bayesian Model for Circular Data
Statistical tools for toroidal diffusions. Software companion for "Langevin diffusions on the torus: estimation and applications"
PCA on the torus using density ridges. Software companion for "Toroidal PCA via density ridges"
The Hermans-Rasson test for non-uniformity of circular data.
🔵 Exact Distributions and Performance of some Two-sample Nonparametric Tests for Circular Data
Estimation of the orientation of fibres in a volume
Tests for rotational symmetry on the hypersphere. Software companion for "On optimal tests for rotational symmetry against new classes of hyperspherical distributions"
Some few methods in Java and Python I picked along the way in my research on the subject.
Periodic mixture aka Mixture of Wrapped Normal Distributions. Circular Bayesian Statistics.
Short presentation of package CircSpaceTime at COMPSTAT2018
🌀 Find, plot, and quantify the relationships between circular and linear data
Data for the reproducibility of García-Portugués et al. (2019)
Circular Statistics Python is a robust library for analyzing circular (directional) data in Python
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