'Log of the multivariate normal cumulative distribution function.
Parameters
x : array_like
Quantiles, with the last axis of `x` denoting the components.
%(_mvn_doc_default_callparams)s
maxpts: integer, optional
The maximum number of points to use for integration
(default `1000000*dim`)
abseps: float, optional
Absolute error tolerance (default 1e-5)
releps: float, optional
Relative error tolerance (default 1e-5)
Returns
cdf : ndarray or scalar
Log of the cumulative distribution function evaluated at `x`
Notes
%(_mvn_doc_callparams_note)s
.. versionadded:: 1.0.0'

def logcdf(self, x, mean=None, cov=1, allow_singular=False, maxpts=None, abseps=1e-05, releps=1e-05):

    (dim, mean, cov) = self._process_parameters(None, mean, cov)
    x = self._process_quantiles(x, dim)
    _PSD(cov, allow_singular=allow_singular)
    if (not maxpts):
        maxpts = (1000000 * dim)
    out = np.log(self._cdf(x, mean, cov, maxpts, abseps, releps))
    return out
