VinecopLike.cdf

abstract VinecopLike.cdf(u, *, x=None, N=10000, num_threads=1, seeds=None)

Joint vine-copula distribution C(u) via Monte-Carlo.

Parameters:

uarray, shape (m, d), dtype float

Query points in [0, 1]^d.

xarray, shape (m, p), or None, optional

External covariates (non-simplified vines), else None.

Nint, default=10000

Number of Monte-Carlo samples.

num_threadsint, default=1

Accepted for parity with pyvinecopulib.core.Vinecop.cdf().

seedslist of int, or None, optional

RNG seeds.

Returns:

array, shape (m,), dtype float

Distribution values in [0, 1].