%feature("docstring") OT::ComposedCopula
"Merge of a collection of independent copulas.

Parameters
----------
copulas : list of copulas.
    The collection of  copulas to be merged.

Notes
-----
Let's :math:`(C_1\, \dots, C_K)` a collection of :math:`K` copulas respectively defined on :math:`[0,1]^{n_i}` whith :math:`n_1 + \dots + n_K = d`.

The  merged copula :math:`C` is defined on :math:`[0,1]^d` by:

.. math::

    C(u_1, \dots, u_d) = C_1(u_1, \dots, u_{n_1}) C_2(u_{n_1+1}, \dots, u_{n_2}) \dots C_K(u_{n_1+\dots + n_{K-1}+1}, \dots, u_d) 


It means that the  subvectors :math:`(u_{n_{i-1}+1}, \dots, u_{n_i})_i` are independent.

Examples
--------
Create a distribution:

>>> import openturns as ot
>>> R = ot.CorrelationMatrix(3)
>>> R[0, 1] = 0.5
>>> R[0, 2] = 0.25
>>> collection = [ot.FrankCopula(3.0), ot.NormalCopula(R), ot.ClaytonCopula(2.0)]
>>> copula = ot.ComposedCopula(collection)

Draw a sample:

>>> sample = copula.getSample(5)"

// ---------------------------------------------------------------------

%feature("docstring") OT::ComposedCopula::getCopulaCollection
"Accessor to the list of the copulas.

Returns
-------
copulas : list of copulas
    The collection of the copulas to be merged."

// ---------------------------------------------------------------------

%feature("docstring") OT::ComposedCopula::setCopulaCollection
"Accessor to the list of the copulas.

Parameters
----------
copulas : list of copulas
    The collection of copulas to be merged."


