bundles / scipy 2.0.0.dev0+git20260907.41eeb59 / scipy / stats / _multivariate / multivariate_normal_frozen / cdf
function
scipy.stats._multivariate:multivariate_normal_frozen.cdf
source: build-install/usr/lib/python3.14/site-packages/scipy/stats/_multivariate.py:1036
Signature
def cdf(self, x, *, lower_limit = None, rng = None)Summary
Multivariate normal cumulative distribution function.
Parameters
x: array_likeQuantiles, with the last axis of
xdenoting the components.maxpts: int, optionalThe maximum number of points to use for integration (default
1000000*dim)abseps: float, optionalAbsolute error tolerance (default 1e-5)
releps: float, optionalRelative error tolerance (default 1e-5)
lower_limit: array_like, optionalLower limit of integration of the cumulative distribution function. Default is negative infinity. Must be broadcastable with
x.rng: Generator, optionalan instance of
np.random.Generator, which is used internally for QMC integration.
Returns
cdf: ndarray or scalarCumulative distribution function evaluated at
x
Notes
See class definition for a detailed description of parameters.
Aliases
scipy.stats._multivariate.multivariate_normal_frozen.cdf