Statistical package in Python based on Pandas
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Updated
Oct 17, 2024 - Python
Statistical package in Python based on Pandas
Clustering routines for the unit sphere
Statistics for high-dimensional data (homogeneity, sphericity, independence, spherical uniformity)
The Header-Only Library For Random Forests
CircHist - circular / polar / angle histogram in MATLAB
Spatial and Spatio-Temporal Bayesian Model for Circular Data
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"
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.
Estimation of the orientation of fibres in a volume
🔵 Exact Distributions and Performance of some Two-sample Nonparametric Tests for Circular Data
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
Circular statistics in python
Circular Statistics Python is a robust library for analyzing circular (directional) data in Python
🌀 Find, plot, and quantify the relationships between circular and linear data
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