class_docstr: Wrapper for local linear trend models
  
  **** LOCAL LINEAR TREND MODEL ****
  
  Parameters
  ----------
  data : pd.DataFrame or np.array
      Field to specify the time series data that will be used.
  
  integ : int (default : 0)
      Specifies how many times to difference the time series.
  
  target : str (pd.DataFrame) or int (np.array)
      Specifies which column name or array index to use. By default, first
      column/array will be selected as the dependent variable.
  
  family : 
      e.g. pf.Normal(0,1)
code: def __new__(cls, data, family, integ=0, target=None):
      if isinstance(family, fam.Normal):
          return LLT(data=data, integ=integ, target=target)
      else:
          return NLLT(
              data=data, family=family, integ=integ, target=target
          )
  
imports: from ..None import families
  from ..None import tsm
  from .llt import *
  from .nllt import *
label_desc: Use image node_id 1 for calling the LocalTrend obj's underlying member method code with example usage: obj.__new__(cls, data, family, integ, target) and returns: LLT, NLLT