class_docstr: Results from an F contrast of coefficients in a parametric model.
  
  The class does nothing, it is a container for the results from F contrasts,
  and returns the F-statistics when np.asarray is called.
class_docstr_tok: ["Results","from","an","F","contrast","of","coefficients","in","a","parametric","model",".","The","class","does","nothing",",","it","is","a","container","for","the","results","from","F","contrasts",",","and","returns","the","F-statistics","when","np.asarray","is","called","."]
code: def __init__(self, effect, covariance, F, df_num, df_den=None):
      if df_den is None:
          df_den = np.inf
      self.effect = effect
      self.covariance = covariance
      self.F = F
      self.df_den = df_den
      self.df_num = df_num
  
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 1 to create a new FContrastResults object  with example: obj = FContrastResults(effect, covariance, F, df_num, df_den)