`scipy.stats._multivariate:multivariate_normal_frozen.logcdf`

Signature

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

Log of the multivariate normal cumulative distribution function.

x : array_like: Quantiles, with the last axis of x denoting the components.
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)
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.

cdf : ndarray or scalar: Log of the cumulative distribution function evaluated at x

See class definition for a detailed description of parameters.