

def _compute_multivariate_sample_pacf(endog, maxlag):
    '\n    Computer multivariate sample partial autocorrelations\n\n    Parameters\n    ----------\n    endog : array_like\n        Sample data on which to compute sample autocovariances. Shaped\n        `nobs` x `k_endog`.\n    maxlag : integer\n        Maximum lag for which to calculate sample partial autocorrelations.\n\n    Returns\n    -------\n    sample_pacf : list\n        A list of the first `maxlag` sample partial autocorrelation matrices.\n        Each matrix is shaped `k_endog` x `k_endog`.\n\n    '
    sample_autocovariances = _compute_multivariate_sample_acovf(sample_autocovariances, maxlag)
    return _compute_multivariate_pacf_from_autocovariances(sample_autocovariances)

dataset/ETHPy150Open statsmodels/statsmodels/statsmodels/tsa/statespace/tools.py _compute_multivariate_sample_pacf/VarMisuse@18/230 `endog`->`sample_autocovariances`