class_docstr: Base class for regression effects used in RegressionFDR.
  
  Any implementation of the class must provide a method called
  'stats' that takes a RegressionFDR object and returns effect sizes
  for the model coefficients.  Greater values for these statistics
  imply greater evidence that the effect is real.
  
  Knockoff effect sizes are based on fitting the regression model to
  an extended design matrix [X X'], where X' is a design matrix with
  the same shape as the actual design matrix X.  The construction of
  X' guarantees that there are no true associations between the
  columns of X' and the dependent variable of the regression.  If X
  has p columns, then the effect size of covariate j is based on the
  strength of the estimated association for coefficient j compared
  to the strength of the estimated association for coefficient p+j.
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code: def stats(self, parent):
      raise NotImplementedError
  
file_path: statsmodels/statsmodels/stats/knockoff_regeffects.py
imports: import numpy
label_desc: Use image node_id 1 for calling the RegressionEffects obj's underlying member method code with example usage: obj.stats(parent) without return types