linearmodels.panel.results.compare¶
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linearmodels.panel.results.compare(results: list[PanelEffectsResults | PanelResults | RandomEffectsResults] | dict[str, PanelEffectsResults | PanelResults | RandomEffectsResults], *, precision: str =
'tstats', stars: bool =False) PanelModelComparison[source]¶ Compare the results of multiple models
- Parameters:¶
- results: list[PanelEffectsResults | PanelResults | RandomEffectsResults] | dict[str, PanelEffectsResults | PanelResults | RandomEffectsResults]¶
Set of results to compare. If a dict, the keys will be used as model names.
- precision: str =
'tstats'¶ Estimator precision estimator to include in the comparison output. Default is “tstats”.
- stars: bool =
False¶ Add stars based on the p-value of the coefficient where 1, 2 and 3-stars correspond to p-values of 10%, 5% and 1%, respectively.
- Returns:¶
The model comparison object.
- Return type:¶