bundles / scipy 2.0.0.dev0+git20260907.41eeb59 / scipy / stats / _multivariate / multivariate_normal_gen / _cdf
function
scipy.stats._multivariate:multivariate_normal_gen._cdf
source: build-install/usr/lib/python3.14/site-packages/scipy/stats/_multivariate.py:649
Signature
def _cdf(self, x, mean, cov, maxpts, abseps, releps, lower_limit, rng)Summary
Multivariate normal cumulative distribution function.
Parameters
x: ndarrayPoints at which to evaluate the cumulative distribution function.
mean: ndarrayMean of the distribution
cov: array_likeCovariance matrix of the distribution
maxpts: intThe maximum number of points to use for integration
abseps: floatAbsolute error tolerance
releps: floatRelative error tolerance
lower_limit: array_like, optionalLower limit of integration of the cumulative distribution function. Default is negative infinity. Must be broadcastable with
x.rng: Generatoran instance of
np.random.Generator, which is used internally for QMC integration.
Notes
As this function does no argument checking, it should not be called directly; use 'cdf' instead.
Aliases
scipy.stats._multivariate.multivariate_normal_gen._cdf