class_docstr: Constant model components
  
  This is a component for a target parameter that has no predictors. This could be seen as
  an intercept-only model for that parameter. For example, tis is the case for sigma when
  a non-distributional Normal linear regression model is used.
  
  Parameters
  ----------
  name : str
      The name of the component. For example "sigma", "alpha", or "kappa".
  priors : bambi.priors.Prior
      The prior distribution for the parameter
  spec : bambi.Model
      The Bambi model
code: def __init__(self, name, prior, spec):
      self.name = name
      self.prior = prior
      self.spec = spec
      self.alias = None
  
imports: import formulae
  import numpy
  import xarray
  from bambi.defaults import get_default_prior
  from bambi.families import univariate, multivariate
  from bambi.priors import Prior
  from bambi.terms import CommonTerm, GroupSpecificTerm, HSGPTerm, OffsetTerm, ResponseTerm
  from bambi.utils import get_aliased_name, is_hsgp_term
label_desc: Use image node_id 1 to create a new ConstantComponent object  with example: obj = ConstantComponent(name, prior, spec)