code: def hqic(llf, nobs, df_modelwc):
      """
      Hannan-Quinn information criterion (HQC)
  
      Parameters
      ----------
      llf : {float, array_like}
          value of the loglikelihood
      nobs : int
          number of observations
      df_modelwc : int
          number of parameters including constant
  
      Returns
      -------
      hqic : float
          information criterion
  
      References
      ----------
      Wikipedia does not say much
      """
      return -2.0 * llf + 2 * np.log(np.log(nobs)) * df_modelwc
  
imports: import numpy
  from statsmodels.tools.validation import array_like
label_desc: Use image node_id 15 for calling a global function with example usage: hqic(llf, nobs, df_modelwc) and returns: unknown