CopulaDistribution.cdf(y, cop_args=None, marg_args=None)[source]

CDF of copula distribution.


Values of random variable at which to evaluate cdf. If 2-dimensional, then components of multivariate random variable need to be in columns


Copula parameters. If None, then the copula parameters will be taken from the cop_args attribute created when initiializing the instance.

marg_argslist of tuples

Parameters for the marginal distributions. It can be None if none of the marginal distributions have parameters, otherwise it needs to be a list of tuples with the same length has the number of marginal distributions. The list can contain empty tuples for marginal distributions that do not take parameter arguments.

cdf values

Last update: Jun 09, 2023