Nonparametric kernel density estimation, bandwidth selection, and other utilities for analyzing directional data
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Updated
Jun 13, 2024 - R
Nonparametric kernel density estimation, bandwidth selection, and other utilities for analyzing directional 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"
PCA on the torus using density ridges. Software companion for "Toroidal PCA via density ridges"
Directional Co-clustering with a Conscience (DCC)
A directional-linear finite mixture model for clustering
Tests for rotational symmetry on the hypersphere. Software companion for "On optimal tests for rotational symmetry against new classes of hyperspherical distributions"
A companion repository for 'Inverse Bayesian Optimization: Learning Human Acquisition Functions in an Exploration vs Exploitation Search Task'
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