bw_cv_polysph().fast_log_c_vMF() as a faster version of
rotasym::c_vMF().d_mvmf_polysph() and r_mvmf_polysph()
to handle mixtures of vMF distributions on polyspheres.fast_log_c_vMF() to large
orders.hammer_to_sph() and
fib_latt().arcsinh to bw_cv_polysph() to handle
high-dimensional data.Bessel from Suggests to
Imports.bw_cv_polysph(exact_vmf = FALSE), which mixed densities
with respect to the Lebesgue and uniform measures.fast_log_c_vMF(): the tabulated orders now reach
nu = 24.5, interpolation is done on log(x),
small arguments use an exact series, and non-tabulated orders fall back
to besselI() instead of erroring.hom_test_polysph() against
non-finite values; use the standard permutation p-value
(1 + #{T* >= T}) / (B + 1).grad_hess_kde_polysph().proj_grad_kde_polysph() with
sparse = TRUE, which could request too few eigenvalues for
small r.r vector kappa for
one-component mixtures in d_mvmf_polysph(),
r_mvmf_polysph(), and mise_vmf_polysph().seed_mc, seed_psi, or seed_jsd
are given.log_cv_kde_polysph(),
bw_lcv_min_epa(), and proj_polysph().
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