def test_Age_Adjusted_Smoother(self):
ar = sm.Age_Adjusted_Smoother(self.e1, self.b1, self.kw, self.s)
exp = [
0.10519625, 0.08494318, 0.06440072, 0.06898604, 0.06952076,
0.05020968
]
self.assertEquals(list(ar.r.round(8)), exp)
def test_Age_Adjusted_Smoother_tabular(self):
dfb = self.dfb
kr = sm.Age_Adjusted_Smoother(dfb.e, dfb.b, s=dfb.s, w=self.kw)
self.assertIsInstance(kr.r, np.ndarray)
np.testing.assert_allclose(kr.r, self.ageadj_exp)
kr = sm.Age_Adjusted_Smoother.by_col(dfb, 'e', 'b', w=self.kw, s='s')
answer = np.array([
0.10519625, 0.08494318, 0.06440072, 0.06898604, 0.06952076,
0.05020968
])
colname = 'e-b_age_adjusted_smoother'
np.testing.assert_allclose(kr[colname].values,
answer,
rtol=RTOL,
atol=ATOL)
def test_Age_Adjusted_Smoother(self):
ar = sm.Age_Adjusted_Smoother(self.e1, self.b1, self.kw, self.s)
np.testing.assert_allclose(ar.r, self.ageadj_exp)
