docstr: Return a dictionary containing the estimated contrast effect,
  the associated ReML-based estimation variance, and the estimated
  degrees of freedom (variance of the variance).
docstr_tok: ["Return","a","dictionary","containing","the","estimated","contrast","effect",",","the","associated","ReML-based","estimation","variance",",","and","the","estimated","degrees","of","freedom","(","variance","of","the","variance",")","."]
code: def summary(self):
      """
      Return a dictionary containing the estimated contrast effect,
      the associated ReML-based estimation variance, and the estimated
      degrees of freedom (variance of the variance).
      """
      return {
          "effect": self.effect,
          "variance": self.variance,
          "dof": self.dof,
      }
  
imports: import numpy
  import scipy.stats
  from nipy.algorithms.statistics.utils import z_score
  from ..utils import mahalanobis
  from .None import kalman
label_desc: Use image node_id 2 for calling the contrast obj's underlying member method code with example usage: obj.summary() and returns: dict