| polykde-package | 'polykde': Polyspherical Kernel Density Estimation | 
| angles_to_polysph | Conversion between the angular and Cartesian coordinates of the polysphere | 
| angles_to_sph | Conversion between the angular and Cartesian coordinates of the (hyper)sphere | 
| angles_to_torus | Conversion between the angular and Cartesian coordinates of the torus | 
| block_euler_ridge | Euler algorithms for polyspherical density ridge estimation | 
| bw_cv_kre_polysph | Cross-validation bandwidth selection for polyspherical-on-scalar regression | 
| bw_cv_polysph | Cross-validation bandwidth selection for polyspherical kernel density estimator | 
| bw_lcv_min_epa | Minimum bandwidth allowed in likelihood cross-validation for Epanechnikov kernels | 
| bw_mrot_polysph | Marginal rule-of-thumb bandwidth selection for polyspherical kernel density estimator | 
| bw_rot_polysph | Rule-of-thumb bandwidth selection for polyspherical kernel density estimator | 
| b_d | Polyspherical kernel moments and efficiencies | 
| clean_euler_ridge | Clean ridge points coming from spurious fits | 
| comp_ind_dj | Index of spheres on a polysphere | 
| curv_vmf_polysph | Curvature of a polyspherical von Mises-Fisher density | 
| c_kern | Kernels on the sphere and their derivatives | 
| dist_polysph | Polyspherical distance | 
| dist_polysph_cross | Polyspherical distance | 
| dist_polysph_matrix | Polyspherical distance | 
| d_unif_polysph | Density of the uniform distribution on the polysphere | 
| d_vmf_polysph | Density of the product of von Mises-Fisher distributions on the polysphere | 
| eff_kern | Polyspherical kernel moments and efficiencies | 
| euler_ridge | Euler algorithms for polyspherical density ridge estimation | 
| grad_hess_kde_polysph | Gradient and Hessian of the polyspherical kernel density estimator | 
| grad_L | Kernels on the sphere and their derivatives | 
| hess_L | Kernels on the sphere and their derivatives | 
| hippocampus | Skeletal representation of hippocampus shapes | 
| hom_test_polysph | Homogeneity test for several polyspherical samples | 
| index_ridge | Index a ridge curve, creating the Smoothed and Indexed Estimated Ridge (SIER) | 
| interp_polysph | Interpolation on the polysphere | 
| kde_polysph | Polyspherical kernel density estimator | 
| kernel | Kernels on the sphere and their derivatives | 
| kre_polysph | Local polynomial estimator for polyspherical-on-scalar regression | 
| L | Kernels on the sphere and their derivatives | 
| log_cv_kde_polysph | Cross-validation for the polyspherical kernel density estimator | 
| parallel_euler_ridge | Euler algorithms for polyspherical density ridge estimation | 
| polykde | 'polykde': Polyspherical Kernel Density Estimation | 
| polylog_minus_exp_mu | Polylogarithm function with negative argument | 
| polysph_to_angles | Conversion between the angular and Cartesian coordinates of the polysphere | 
| proj_grad_kde_polysph | Projected gradient of the polyspherical kernel density estimator | 
| proj_polysph | Projection onto the polysphere | 
| r_g_kern | Sample from the angular kernel density | 
| r_kde_polysph | Sample from polyspherical kernel density estimator | 
| r_kern_polysph | Sample kernel-distributed polyspherical data | 
| r_path_s1r | Samplers of one-dimensional modes of variation for polyspherical data | 
| r_path_s2r | Samplers of one-dimensional modes of variation for polyspherical data | 
| r_unif_polysph | Sample uniform polyspherical data | 
| r_vmf_polysph | Sample von Mises-Fisher distributed polyspherical data | 
| softplus | Stable computation of the softplus function | 
| sph_to_angles | Conversion between the angular and Cartesian coordinates of the (hyper)sphere | 
| torus_to_angles | Conversion between the angular and Cartesian coordinates of the torus | 
| view_srep | s-rep viewer | 
| v_d | Polyspherical kernel moments and efficiencies |