TVARResult._comparison_label#

TVARResult._comparison_label()[source]#

Short specification label for a ranking table.

Example

>>> import numpy as np
>>> y = np.random.default_rng(0).standard_normal((200, 2))
>>> TVAR(y, order=2, transition_variable="y1", delay=2).fit()._comparison_label()
'TVAR(2, d=2)'
Return type:

str