xeofs.cross

Methods that investigate relationships or patterns between variables across two distinct datasets.

CCA([n_modes, standardize, use_coslat, ...])	Canonical Correlation Analysis (CCA).
MCA([n_modes, standardize, use_coslat, ...])	Maximum Covariance Analysis (MCA).
RDA([n_modes, standardize, use_coslat, ...])	Redundancy Analysis (RDA).
CPCCA([n_modes, alpha, standardize, ...])	Continuum Power CCA (CPCCA).
ComplexCCA([n_modes, standardize, ...])	Complex CCA.
ComplexMCA([n_modes, standardize, ...])	Complex MCA.
ComplexRDA([n_modes, standardize, ...])	Complex RDA.
ComplexCPCCA([n_modes, alpha, standardize, ...])	Complex CPCCA.
HilbertCCA([n_modes, padding, decay_factor, ...])	Hilbert CCA.
HilbertMCA([n_modes, padding, decay_factor, ...])	Hilbert MCA.
HilbertRDA([n_modes, padding, decay_factor, ...])	Hilbert RDA.
HilbertCPCCA([n_modes, alpha, padding, ...])	Hilbert CPCCA.

Sparse Solutions via Rotation

MCARotator([n_modes, power, max_iter, rtol, ...])	Rotate a solution obtained from xe.cross.MCA.
CPCCARotator([n_modes, power, max_iter, ...])	Rotate a solution obtained from xe.cross.CPCCA.
ComplexMCARotator([n_modes, power, ...])	Rotate a solution obtained from xe.cross.ComplexMCA.
ComplexCPCCARotator(**kwargs)	Rotate a solution obtained from xe.cross.ComplexCPCCA.
HilbertMCARotator([n_modes, power, ...])	Rotate a solution obtained from xe.cross.HilbertMCA.
HilbertCPCCARotator(**kwargs)	Rotate a solution obtained from xe.cross.HilbertCPCCA.