panel_random_effects
Perform One-way Random Effects model for panel data.
One-way Random Effects model to panel data is offering a nuanced approach to analyzing data that spans across both time and entities (such as individuals, companies, countries, etc.). By acknowledging and modeling the random variation that exists within these entities, this method provides insights into the general patterns that emerge across the dataset.
Parameters
- standard
data: ForwardRef('Data') | ForwardRef('DataFrame') | ForwardRef('Series') | ForwardRef('ndarray') | dict | list
y_column: str
x_columns: list[str]
Returns
results: dict
Serializable results.
provider: str
Provider name.
warnings: Optional[list[Warning_]]
list of warnings.
chart: Optional[Chart]
Chart object.
extra: dict[str, Any]
Extra info.