class_docstr: Class to contain results from likelihood models 
class_docstr_tok: ["Class","to","contain","results","from","likelihood","models"]
docstr: Akaike Information Criterion
docstr_tok: ["Akaike","Information","Criterion"]
code: def AIC(self):
      """
      Akaike Information Criterion
      """
      p = self.theta.shape[0]
      return -2 * self.logL + 2 * p
  
imports: import numpy
  from nibabel.onetime import auto_attr
  from numpy.linalg import inv
  from scipy.stats import t
  from ...utils.matrices import pos_recipr
label_desc: Use image node_id 3 for calling the LikelihoodModelResults obj's underlying member method code with example usage: obj.AIC() and returns: unknown