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: list[openbb_core.provider.abstract.data.Data]
Input dataset.
• Optional: False
y_column: str
Target column.
• Optional: False
x_columns: list[str]
list of columns to use as exogenous variables.
• Optional: False
Returns
results: list[dict]
Serializable results.
provider: None
Provider name.
warnings: Optional[list[Warning_]]
list of warnings.
chart: Optional[Chart]
Chart object.
extra: dict[str, Any]
Extra info.