class_docstr: A class to estimate AR(p) coefficients from residuals
class_docstr_tok: ["A","class","to","estimate","AR","(","p",")","coefficients","from","residuals"]
docstr: Calculate AR(p) coefficients from `results`.``residuals``
  
  Parameters
  ----------
  results : Results instance
      A models.model.LikelihoodModelResults instance
  
  Returns
  -------
  ar_p : array
      AR(p) coefficients
code: def __call__(self, results):
      """Calculate AR(p) coefficients from `results`.``residuals``
  
      Parameters
      ----------
      results : Results instance
          A models.model.LikelihoodModelResults instance
  
      Returns
      -------
      ar_p : array
          AR(p) coefficients
      """
      return ar_bias_correct(results, self.p, self.invM)
  
imports: import warnings
  import numpy
  import numpy.linalg
  import scipy.linalg
  from nibabel.onetime import auto_attr
  from scipy import stats
  from nipy.algorithms.utils.matrices import matrix_rank, pos_recipr
  from .model import LikelihoodModel, LikelihoodModelResults
label_desc: Use image node_id 2 for calling the AREstimator obj's underlying member method code with example usage: obj.__call__(results) and returns: ar_bias_correct