statsmodels.distributions.copula.api.IndependenceCopula.rvs

IndependenceCopula.rvs(nobs=1, args=(), random_state=None)[source]

Draw n in the half-open interval [0, 1).

Marginals are uniformly distributed.

Parameters:
nobsint, optional

Number of samples to generate from the copula. Default is 1.

argstuple

Arguments for copula parameters. The number of arguments depends on the copula.

random_state{None, int, numpy.random.Generator}, optional

If seed is None then the legacy singleton NumPy generator. This will change after 0.13 to use a fresh NumPy Generator, so you should explicitly pass a seeded Generator if you need reproducible results. If seed is an int, a new Generator instance is used, seeded with seed. If seed is already a Generator instance then that instance is used.

Returns:
samplearray_like (nobs, d)

Sample from the copula.


Last update: Feb 14, 2024