VARXResult._comparison_label#

VARXResult._comparison_label()[source]#

Short specification label for a ranking table.

Example

>>> import numpy as np
>>> rng = np.random.default_rng(0)
>>> y, x = rng.standard_normal((120, 2)), rng.standard_normal((120, 1))
>>> VARX(y, x, order=2, exog_order=1).fit()._comparison_label()
'VARX(2, 1)'
>>> VARX(y, x, order=1, trend="n").fit()._comparison_label()
'VARX(1, 0, trend=n)'
Return type:

str