statsmodels.regression.recursive_ls.RecursiveLSResults.plot_recursive_coefficient¶
method
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RecursiveLSResults.
plot_recursive_coefficient
(variables=0, alpha=0.05, legend_loc='upper left', fig=None, figsize=None)[source]¶ Plot the recursively estimated coefficients on a given variable
- Parameters
- variablesint or str or iterable of int or string, optional
Integer index or string name of the variable whose coefficient will be plotted. Can also be an iterable of integers or strings. Default is the first variable.
- alphafloat, optional
The confidence intervals for the coefficient are (1 - alpha) %
- legend_locstring, optional
The location of the legend in the plot. Default is upper left.
- figMatplotlib Figure instance, optional
If given, subplots are created in this figure instead of in a new figure. Note that the grid will be created in the provided figure using fig.add_subplot().
- figsizetuple, optional
If a figure is created, this argument allows specifying a size. The tuple is (width, height).
Notes
All plots contain (1 - alpha) % confidence intervals.