def __init__(self):
data = heart.load()
endog = np.log10(data.endog)
exog = add_constant(data.exog)
self.mod1 = emplikeAFT(endog, exog, data.censors)
self.res1 = self.mod1.fit()
self.res2 = AFTRes()
def setup_class(cls):
data = heart.load()
endog = np.log10(data.endog)
exog = add_constant(data.exog)
cls.mod1 = emplikeAFT(endog, exog, data.censors)
cls.res1 = cls.mod1.fit()
cls.res2 = AFTRes()
def __init__(self):
data = heart.load()
endog = np.log10(data.endog)
exog = add_constant(data.exog)
self.mod1 = emplikeAFT(endog, exog, data.censors)
self.res1 = self.mod1.fit()
self.res2 = AFTRes()
def setup_class(cls):
data = heart.load(as_pandas=False)
endog = np.log10(data.endog)
exog = add_constant(data.exog)
cls.mod1 = emplikeAFT(endog, exog, data.censors)
cls.res1 = cls.mod1.fit()
cls.res2 = AFTRes()
