Missing-value Fisher-z test

Perform a testwise-deletion Fisher-z independence test to data sets with missing values. With testwise-deletion, the test makes use of all data points that do not have missing values for the variables involved in the test.

Usage

from causallearn.utils.cit import mv_fisherz
p = mv_fisherz(mvdata, X, Y, condition_set)

Parameters

mvdata: numpy.ndarray, shape (n_samples, n_features). Data with missing value, where n_samples is the number of samples and n_features is the number of features.

X, Y and condition_set: column indices of data.

Returns

p: the p-value of the test.