statsmodels.gam.generalized_additive_model.GLMGamResults.plot_partial¶

GLMGamResults.plot_partial(smooth_index, plot_se=True, cpr=False, include_constant=True, ax=None)[source]¶

plot the contribution of a smooth term to the linear prediction

Parameters:¶

smooth_index : int¶

index of the smooth term within list of smooth terms

plot_se : bool¶

If plot_se is true, then the confidence interval for the linear prediction will be added to the plot.

cpr : bool¶

If cpr (component plus residual) is true, then a scatter plot of the partial working residuals will be added to the plot.

include_constant : bool¶

If true, then the estimated intercept is added to the prediction and its standard errors. This avoids that the confidence interval has zero width at the imposed identification constraint, e.g. either at a reference point or at the mean.

ax : None or matplotlib axis instance¶

If ax is not None, then the plot will be added to it.

Returns:¶

If ax is None, the created figure. Otherwise, the Figure to which ax is connected.

Return type:¶

Figure