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: