code: def test_mvn_mvt_5(self):
      a, bl = self.a, self.b
      df = self.df
      corr2 = self.corr2
  
      # unequal integration bounds
      # print "ue"
      a3 = np.array([0.5, -0.5, 0.5])
      probmvn_R = 0.06910487  # using higher precision in R, error approx. 3.5e-08
      probmvt_R = 0.05797867  # using higher precision in R, error approx. 5.8e-08
      assert_almost_equal(
          mvstdtprob(a3, a3 + 1, corr2, df), probmvt_R, 4
      )
      assert_almost_equal(
          probmvn_R,
          mvstdnormcdf(a3, a3 + 1, corr2, maxpts=100000, abseps=1e-5),
          4,
      )
  
file_path: statsmodels/statsmodels/sandbox/distributions/tests/test_multivariate.py
imports: import numpy
  from numpy.testing import assert_almost_equal, assert_allclose
  from statsmodels.sandbox.distributions.multivariate import mvstdtprob, mvstdnormcdf
  from statsmodels.sandbox.distributions.mv_normal import MVT, MVNormal
label_desc: Use image node_id 6 for calling the Test_MVN_MVT_prob obj's underlying member method code with example usage: obj.test_mvn_mvt_5() without return types