class_docstr: Laplace Distribution
  ----
  This class contains methods relating to the Laplace distribution for time series.
class_docstr_tok: ["Laplace","Distribution","--","--","This","class","contains","methods","relating","to","the","Laplace","distribution","for","time","series","."]
docstr: Draws random variables from this distribution
  
  Parameters
  ----------
  loc : float
      location parameter for the distribution
  
  scale : float
      scale parameter for the distribution
  
  shape : float
      tail thickness parameter for the distribution
  
  skewness : float
      skewness parameter for the distribution
  
  nsims : int or list
      number of draws to take from the distribution
  
  Returns
  ----------
  - Random draws from the distribution
docstr_tok: ["Draws","random","variables","from","this","distribution","Parameters","--","--","--","--","--","loc",":","float","location","parameter","for","the","distribution","scale",":","float","scale","parameter","for","the","distribution","shape",":","float","tail","thickness","parameter","for","the","distribution","skewness",":","float","skewness","parameter","for","the","distribution","nsims",":","int","or","list","number","of","draws","to","take","from","the","distribution","Returns","--","--","--","--","--","-","Random","draws","from","the","distribution"]
code: def draw_variable(loc, scale, shape, skewness, nsims):
      """Draws random variables from this distribution
  
      Parameters
      ----------
      loc : float
          location parameter for the distribution
  
      scale : float
          scale parameter for the distribution
  
      shape : float
          tail thickness parameter for the distribution
  
      skewness : float
          skewness parameter for the distribution
  
      nsims : int or list
          number of draws to take from the distribution
  
      Returns
      ----------
      - Random draws from the distribution
      """
      return np.random.laplace(loc, scale, nsims)
  
imports: import numpy
  import scipy.stats
  import scipy.special
  from .family import Family
  from .flat import Flat
  from .normal import Normal
  from .gas_recursions import gas_recursion_laplace_orderone, gas_recursion_laplace_ordertwo
  from .gas_recursions import gasx_recursion_laplace_orderone, gasx_recursion_laplace_ordertwo
  from .gas_recursions import gas_llev_recursion_laplace_orderone, gas_llev_recursion_laplace_ordertwo
  from .gas_recursions import gas_llt_recursion_laplace_orderone, gas_llt_recursion_laplace_ordertwo
  from .gas_recursions import gas_reg_recursion_laplace_orderone, gas_reg_recursion_laplace_ordertwo
label_desc: Use image node_id 5 for calling the Laplace obj's underlying member method code with example usage: obj.draw_variable(loc, scale, shape, skewness, nsims) and returns: np