class_docstr: Tests for simulation smoothing values in a couple of special cases of
  variates. Both computed values and KFAS values are used for comparison
  against the simulation smoother output.
class_docstr_tok: ["Tests","for","simulation","smoothing","values","in","a","couple","of","special","cases","of","variates",".","Both","computed","values","and","KFAS","values","are","used","for","comparison","against","the","simulation","smoother","output","."]
code: def test_loglike(self):
      assert_allclose(np.sum(self.results.llf_obs), self.true_llf)
  
imports: import os
  import numpy
  import pandas
  from numpy.testing import assert_allclose, assert_equal
  import pytest
  from statsmodels import datasets
  from statsmodels.tsa.statespace import mlemodel, sarimax, structural, varmax
  from statsmodels.tsa.statespace.simulation_smoother import SIMULATION_STATE, SIMULATION_DISTURBANCE, SIMULATION_ALL
label_desc: Use image node_id 2 for calling the MultivariateVARKnown obj's underlying member method code with example usage: obj.test_loglike() without return types