frites.core.gccmi_1d_ccd#
- frites.core.gccmi_1d_ccd(x, y, z, biascorrect=True, demeaned=False)[source]#
GCCMI between 2 continuous variables conditioned on a discrete variable.
I = gccmi_ccd(x,y,z) returns the CMI between two (possibly multidimensional) continuous variables, x and y, conditioned on a third discrete variable z, estimated via a Gaussian copula.
- Parameters
- x, ynumpy:array_like
Continuous arrays of shape (n_epochs,) or (n_dimensions, n_epochs).
- znumpy:array_like
Discret array of shape (n_epochs,)
- Returns
- cmi
python:float Conditional Mutual Information shared by x and y conditioned by z (in bits)
- cmi