Change options_.lik_init to default value if the fixed point of the Riccati equation cannot be found.
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f2450932da
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e097f7c8db
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@ -193,15 +193,22 @@ elseif options_.lik_init == 3 % Diffuse Kalman filter
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[Z,ST,R1,QT,Pstar,Pinf] = schur_statespace_transformation(mf,T,R,Q,options_.qz_criterium);
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elseif options_.lik_init==4
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% Start from the solution of the Riccati equation.
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[err, Pstar] = kalman_steady_state(transpose(T),R*Q*transpose(R),transpose(build_selection_matrix(mf,np,length(mf))),H);
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mexErrCheck('kalman_steady_state',err);
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Pinf = [];
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if kalman_algo~=2
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if kalman_algo ~= 2
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kalman_algo = 1;
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end
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if isequal(H,0)
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[err,Pstar] = kalman_steady_state(transpose(T),R*Q*transpose(R),transpose(build_selection_matrix(mf,np,length(mf))));
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else
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[err,Pstar] = kalman_steady_state(transpose(T),R*Q*transpose(R),transpose(build_selection_matrix(mf,np,length(mf))),H);
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end
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if err
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disp(['I am not able to solve the Riccati equation so I switch to lik_init=1!']);
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options_.lik_init = 1;
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Pstar = lyapunov_symm(T,R*Q*R',options_.qz_criterium,options_.lyapunov_complex_threshold);
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end
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Pinf = [];
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end
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if kalman_algo == 2
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end
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kalman_tol = options_.kalman_tol;
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riccati_tol = options_.riccati_tol;
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mf = bayestopt_.mf1;
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