MarkovSwitchingVARResult._comparison_label#
- MarkovSwitchingVARResult._comparison_label()[source]#
Short specification label for a ranking table.
Example
>>> import numpy as np >>> rng = np.random.default_rng(0) >>> s = np.repeat([0, 1, 0, 1], 100) >>> y = np.array([[-1.0, -0.5], [1.5, 1.0]])[s] + 0.4 * rng.standard_normal((400, 2)) >>> res = MarkovSwitchingVAR(y, order=1, n_regimes=2).fit(seed=0) >>> res._comparison_label() == res.specification True
- Return type: