class_docstr: Power variance function
  
  Parameters
  ----------
  power : float
      exponent used in power variance function
  
  Methods
  -------
  call
      Returns the power variance
  
  Notes
  -----
  Formulas
     V(mu) = numpy.fabs(mu)**power
  
  Aliases for Power:
  mu = Power()
  mu_squared = Power(power=2)
  mu_cubed = Power(power=3)
class_docstr_tok: ["Power","variance","function","Parameters","--","--","--","--","--","power",":","float","exponent","used","in","power","variance","function","Methods","--","--","--","-","call","Returns","the","power","variance","Notes","--","--","-","Formulas","V","(","mu",")","=","numpy.fabs","(","mu",")","*","*","power","Aliases","for","Power",":","mu","=","Power","(",")","mu_squared","=","Power","(","power=2",")","mu_cubed","=","Power","(","power=3",")"]
code: def __init__(self, power=1.0):
      self.power = power
  
file_path: statsmodels/statsmodels/genmod/families/varfuncs.py
imports: import numpy
label_desc: Use image node_id 1 to create a new Power object  with example: obj = Power(power)