class_docstr: Wrapper for dynamic GLM models
  
  Parameters
  ----------
  formula : str
      Patsy string specifying the regression
  
  data : pd.DataFrame or np.array
      Field to specify the time series data that will be used.
  
  family : 
      e.g. pf.Normal(0,1)
code: def __new__(cls, formula, data, family):
      if isinstance(family, fam.Normal):
          return DynReg(formula=formula, data=data)
      else:
          return NDynReg(formula=formula, data=data, family=family)
  
imports: from ..None import families
  from ..None import tsm
  from .dynlin import *
  from .ndynlin import *
label_desc: Use image node_id 1 for calling the DynamicGLM obj's underlying member method code with example usage: obj.__new__(cls, formula, data, family) and returns: DynReg, NDynReg