2bcc08a653ca96fe4895e21afc845931ef7681a7,linearmodels/panel/model.py,RandomEffects,from_formula,#Any#Any#Any#,1558

Before Change

        >>> mod = RandomEffects.from_formula("y ~ 1 + x1", panel_data)
        >>> res = mod.fit()
        
        return super(RandomEffects, cls).from_formula(formula, data, weights=weights)

    def fit(self, *, small_sample=False, cov_type="unadjusted", debiased=True, **cov_config):
        w = self.weights.values2d
        root_w = np.sqrt(w)

After Change

        >>> mod = RandomEffects.from_formula("y ~ 1 + x1", panel_data)
        >>> res = mod.fit()
        
        parser = PanelFormulaParser(formula, data)
        dependent, exog = parser.data
        mod = cls(dependent, exog, weights=weights)
        mod.formula = formula
        return mod

    def fit(self, *, small_sample=False, cov_type="unadjusted", debiased=True, **cov_config):
        w = self.weights.values2d
        root_w = np.sqrt(w)

Instances