def markov_blanket(self, beta, alpha):
        """ Creates total Markov blanket for states

        Parameters
        ----------
        beta : np.array
            Contains untransformed starting values for latent variables

        alpha : np.array
            A vector of states

        Returns
        ----------
        Markov blanket for states
        """             
        likelihood_blanket = self.likelihood_markov_blanket(beta)
        state_blanket = self.state_likelihood_markov_blanket(beta,alpha,0)
        for i in range(self.state_no-1):
            likelihood_blanket = np.append(likelihood_blanket,self.likelihood_markov_blanket(beta))
            state_blanket = np.append(state_blanket,self.state_likelihood_markov_blanket(beta,alpha,i+1))
        return likelihood_blanket + state_blanket
Creates total Markov blanket for states

        Parameters
        ----------
        beta : np.array
            Contains untransformed starting values for latent variables

        alpha : np.array
            A vector of states

        Returns
        ----------
        Markov blanket for states