linearmodels.iv.results.compare¶
-
linearmodels.iv.results.compare(results: dict[str, IVResults | IVGMMResults | OLSResults] | Sequence[IVResults | IVGMMResults | OLSResults], *, precision: str =
'tstats', stars: bool =False) IVModelComparison[source]¶ Compare the results of multiple models
- Parameters:¶
- results: dict[str, IVResults | IVGMMResults | OLSResults] | Sequence[IVResults | IVGMMResults | OLSResults]¶
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:¶