arch.univariate.LS.resids

LS.resids(params: ndarray[tuple[int], dtype[float64]], y: ndarray[tuple[int], dtype[float64]] | Series | None = None, regressors: ndarray[tuple[int, int], dtype[float64]] | DataFrame | None = None) ndarray[tuple[int], dtype[float64]] | Series

Compute model residuals

Parameters:
params: ndarray[tuple[int], dtype[float64]]

Model parameters

y: ndarray[tuple[int], dtype[float64]] | Series | None = None

Alternative values to use when computing model residuals

regressors: ndarray[tuple[int, int], dtype[float64]] | DataFrame | None = None

Alternative regressor values to use when computing model residuals

Returns:

resids – Model residuals

Return type:

numpy.ndarray