code: def _ss_matrices(self,beta):
               
  
  
          T = np.identity(self.state_no)
          Z = self.X
          R = np.identity(self.state_no)
          
          Q = np.identity(self.state_no)
          for i in range(0,self.state_no):
              Q[i][i] = self.latent_variables.z_list[i].prior.transform(beta[i])
  
          return T, Z, R, Q
docs: Creates the state space matrices required
  
          Parameters
          ----------
          beta : np.array
              Contains untransformed starting values for latent variables
  
          Returns
          ----------
          T, Z, R, Q : np.array
              State space matrices used in KFS algorithm