本文整理汇总了Python中statsmodels.regression.recursive_ls.RecursiveLS.from_formula方法的典型用法代码示例。如果您正苦于以下问题：Python RecursiveLS.from_formula方法的具体用法？Python RecursiveLS.from_formula怎么用？Python RecursiveLS.from_formula使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类statsmodels.regression.recursive_ls.RecursiveLS的用法示例。
在下文中一共展示了RecursiveLS.from_formula方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_from_formula
# 需要导入模块: from statsmodels.regression.recursive_ls import RecursiveLS [as 别名]
# 或者: from statsmodels.regression.recursive_ls.RecursiveLS import from_formula [as 别名]
def test_from_formula():
mod = RecursiveLS.from_formula('cpi ~ m1', data=dta)
res = mod.fit()
# Test the RLS estimates against OLS estimates
mod_ols = OLS.from_formula('cpi ~ m1', data=dta)
res_ols = mod_ols.fit()
assert_allclose(res.params, res_ols.params)示例2: test_from_formula
# 需要导入模块: from statsmodels.regression.recursive_ls import RecursiveLS [as 别名]
# 或者: from statsmodels.regression.recursive_ls.RecursiveLS import from_formula [as 别名]
def test_from_formula():
with pytest.warns(ValueWarning, match="No frequency information"):
mod = RecursiveLS.from_formula('cpi ~ m1', data=dta)
res = mod.fit()
# Test the RLS estimates against OLS estimates
mod_ols = OLS.from_formula('cpi ~ m1', data=dta)
res_ols = mod_ols.fit()
assert_allclose(res.params, res_ols.params)