wald_weighted_int

hep_spt.wald_weighted_int(k, N, cl=0.6826894921370859)

Calculate the symmetric Wald interval for a weighted sample, where “k” is the array of weights in the survival sample and “N” in the main sample.

Parameters

• k (numpy.ndarray(float)) – passed weights.

• N (numpy.ndarray(float)) – total weights.

• cl (float or numpy.ndarray(float)) – confidence level.

Returns

Lower and upper bounds for the probability.

Return type

float or numpy.ndarray(float)