def setUp(self):
data = {"response": [0, 1, 1],
"var_a": [21, 32, 10],
"cyl": [4, 6, 4]}
df = pd.DataFrame(data, index=[0, 1, 2])
priors_data = {
"grp": ["cyl", "cyl", "cyl"],
"var1": ["intercept", "intercept", "var_a"],
"var2": [np.NaN, "var_a", np.NaN],
"vcov": [0.123, -1.42, 0.998]
}
priors_df = pd.DataFrame(priors_data, index=[0, 1, 2])
self.formula = "response ~ 1 + var_a + (1 + var_a | cyl)"
self.model = LogisticRegression(train_df=df,
priors_df=priors_df,
test_df=None)
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