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bundles / scipy 2.0.0.dev0+git20260907.41eeb59 / scipy / stats / _multivariate / multivariate_normal_frozen / logcdf

function

scipy.stats._multivariate:multivariate_normal_frozen.logcdf

source: build-install/usr/lib/python3.14/site-packages/scipy/stats/_multivariate.py:1028

Signature

def logcdf(self, x, *, lower_limit = None, rng = None)

Summary

Log of the multivariate normal cumulative distribution function.

Parameters

x : array_like

Quantiles, with the last axis of x denoting the components.

maxpts : int, 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)

lower_limit : array_like, optional

Lower limit of integration of the cumulative distribution function. Default is negative infinity. Must be broadcastable with x.

rng : Generator, optional

an instance of np.random.Generator, which is used internally for QMC integration.

Returns

cdf : ndarray or scalar

Log of the cumulative distribution function evaluated at x

Notes

See class definition for a detailed description of parameters.

Aliases

  • scipy.stats._multivariate.multivariate_normal_frozen.logcdf