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%feature("docstring") OT::NegativeBinomial
"NegativeBinomial distribution.

Available constructors:
    NegativeBinomial(*r=1.0, p=0.5*)

Parameters
----------
r : float, :math:`r > 0`
    Number of failures until the Bernoulli trial is stopped.

p : float, :math:`0 < p < 1`
    Success probability of the Bernoulli trial.

Notes
-----
Its probability density function is defined as:

.. math::

    \\\\Prob{X = k} = \\\\frac{\\\\Gamma(k + r)}{\\\\Gamma(r)\\\\Gamma(k+1)}p^k(1-p)^r,
                   \\\\, \\\\forall k \\\\in \\\\Nset

Its first moments are:

.. math::
    :nowrap:

    \\\\begin{eqnarray*}
        \\\\Expect{X} & = & \\\\frac{rp}{1-p} \\\\\\\\
        \\\\Var{X} & = & \\\\frac{rp}{(1-p)^2}
    \\\\end{eqnarray*}

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

>>> import openturns as ot
>>> distribution = ot.NegativeBinomial(1., 0.6)

Draw a sample:

>>> sample = distribution.getSample(10)"

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

%feature("docstring") OT::NegativeBinomial::getP
"Accessor to the success probability parameter.

Returns
-------
p : float
    The success probability of the Bernoulli trial."

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

%feature("docstring") OT::NegativeBinomial::getR
"Accessor to the number of failures parameter.

Returns
-------
r : float
    Number of failures until the Bernoulli trial is stopped."

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

%feature("docstring") OT::NegativeBinomial::setP
"Accessor to the success probability parameter.

Parameters
----------
p : float, :math:`0 \\\\leq p \\\\leq 1`
    The success probability of the Bernoulli trial."

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

%feature("docstring") OT::NegativeBinomial::setR
"Accessor to the number of failures parameter.

Parameters
----------
r : float, :math:`r > 0`
    Number of failures until the Bernoulli trial is stopped."