class_docstr: Scale prior distributions parameters.
class_docstr_tok: ["Scale","prior","distributions","parameters","."]
code: def get_slope_sigma(self, x):
      return self.STD * (self.response_std / np.std(x))
  
file_path: bambi/bambi/priors/scaler.py
imports: import numpy
  import pymc
  from bambi.families.univariate import Cumulative, Gaussian, StoppingRatio, StudentT, VonMises
  from bambi.model_components import ConstantComponent
  from bambi.priors.prior import Prior
label_desc: Use image node_id 3 for calling the PriorScaler obj's underlying member method code with example usage: obj.get_slope_sigma(x) and returns: unknown