Polyspherical Kernel Density Estimation
Conversion between the angular and Cartesian coordinates of the polysp...
Conversion between the angular and Cartesian coordinates of the (hyper...
Conversion between the angular and Cartesian coordinates of the torus
Cross-validation bandwidth selection for polyspherical-on-scalar regre...
Cross-validation bandwidth selection for polyspherical kernel density ...
Minimum bandwidth allowed in likelihood cross-validation for Epanechni...
Marginal rule-of-thumb bandwidth selection for polyspherical kernel de...
Rule-of-thumb bandwidth selection for polyspherical kernel density est...
Clean ridge points coming from spurious fits
Index of spheres on a polysphere
Curvature of a polyspherical von Mises--Fisher density
Density of the uniform distribution on the polysphere
Density of the product of von Mises--Fisher distributions on the polys...
Polyspherical distance
Polyspherical kernel moments and efficiencies
Euler algorithms for polyspherical density ridge estimation
Gradient and Hessian of the polyspherical kernel density estimator
Homogeneity test for several polyspherical samples
Index a ridge curve, creating the Smoothed and Indexed Estimated Ridge...
Interpolation on the polysphere
Polyspherical kernel density estimator
Kernels on the sphere and their derivatives
Local polynomial estimator for polyspherical-on-scalar regression
Cross-validation for the polyspherical kernel density estimator
polykde: Polyspherical Kernel Density Estimation
Polylogarithm function with negative argument
Projected gradient of the polyspherical kernel density estimator
Projection onto the polysphere
Sample from the angular kernel density
Sample from polyspherical kernel density estimator
Sample kernel-distributed polyspherical data
Samplers of one-dimensional modes of variation for polyspherical data
Sample uniform polyspherical data
Sample von Mises--Fisher distributed polyspherical data
Stable computation of the softplus function
s-rep viewer
Kernel density estimation on the polysphere, (hyper)sphere, and circle. Includes functions for density estimation, regression estimation, ridge estimation, bandwidth selection, kernels, samplers, and homogeneity tests. Companion package to García-Portugués and Meilán-Vila (2025) <doi:10.1080/01621459.2025.2521898> and García-Portugués and Meilán-Vila (2023) <doi:10.1007/978-3-031-32729-2_4>.