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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().tests_bwd.R,
tests_distr.R, tests_grad_hess.R,
tests_kde.R, tests_samplers.R, and
tests_tests.R to avoid spurious failures on some
platforms.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.