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 |