def test_koenker_bassett(self): obs = diagnostics.koenker_bassett(reg) exp = {'df':2, 'kb':5.694087931707, 'pvalue':0.058015563638} self.assertEquals(obs['df'],exp['df']) self.assertAlmostEquals(obs['kb'],exp['kb']) self.assertAlmostEquals(obs['pvalue'],exp['pvalue'])
def test_koenker_bassett(self): obs = diagnostics.koenker_bassett(reg) exp = {'df': 2, 'kb': 5.694087931707, 'pvalue': 0.058015563638} np.testing.assert_equal(obs['df'], exp['df']) np.testing.assert_allclose(obs['kb'], exp['kb'], RTOL) np.testing.assert_allclose(obs['pvalue'], exp['pvalue'], RTOL)
def test_koenker_bassett(self): obs = diagnostics.koenker_bassett(reg) exp = {'df': 2, 'kb': 5.694087931707, 'pvalue': 0.058015563638} self.assertEquals(obs['df'], exp['df']) self.assertAlmostEquals(obs['kb'], exp['kb']) self.assertAlmostEquals(obs['pvalue'], exp['pvalue'])
def test_koenker_bassett(self): obs = diagnostics.koenker_bassett(reg) exp = {'df':2, 'kb':5.694087931707, 'pvalue':0.058015563638} np.testing.assert_equal(obs['df'],exp['df']) np.testing.assert_allclose(obs['kb'],exp['kb'], RTOL) np.testing.assert_allclose(obs['pvalue'],exp['pvalue'], RTOL)