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_sebool
If plot_se is true, then the confidence interval for the linear prediction will be added to the plot.
- cprbool
If cpr (component plus residual) is true, then a scatter plot of the partial working residuals will be added to the plot.
- include_constantbool
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
ormatplotlib
axis
instance
If ax is not None, then the plot will be added to it.
- smooth_index
- Returns:¶
Figure
If ax is None, the created figure. Otherwise, the Figure to which ax is connected.
Last update:
Dec 11, 2024