A directional-linear finite mixture model for clustering
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Updated
Feb 21, 2019 - R
A directional-linear finite mixture model for clustering
Directional Co-clustering with a Conscience (DCC)
A companion repository for 'Inverse Bayesian Optimization: Learning Human Acquisition Functions in an Exploration vs Exploitation Search Task'
Nonparametric kernel density estimation, bandwidth selection, and other utilities for analyzing directional data
PCA on the torus using density ridges. Software companion for "Toroidal PCA via density ridges"
Tests for rotational symmetry on the hypersphere. Software companion for "On optimal tests for rotational symmetry against new classes of hyperspherical distributions"
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"
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