Location

Output

Input

matlab/DsgeLikelihood.m

['fval', 'cost_flag', 'ys', 'trend_coeff', 'info']

['xparam1', 'gend', 'data', 'data_index', 'number_of_observations', 'no_more_missing_observations']

matlab/DsgeLikelihood_hh.m

['fval', 'llik', 'cost_flag', 'ys', 'trend_coeff', 'info']

['xparam1', 'gend', 'data', 'data_index', 'number_of_observations', 'no_more_missing_observations']

matlab/bfgsi.m

['H']

['H0', 'dg', 'dx']

matlab/missing/bicgstab/bicgstab.m

['x', 'flag', 'relres', 'iter', 'resvec']

['A', 'b', 'tol', 'maxit', 'M1', 'M2', 'x0']

matlab/csminit.m

['fhat', 'xhat', 'fcount', 'retcode']

['fcn', 'x0', 'f0', 'g0', 'badg', 'H0', 'varargin']

matlab/kalman/likelihood/diffuse_kalman_filter.m

['LIK', 'lik']

['T', 'R', 'Q', 'H', 'Pinf', 'Pstar', 'Y', 'start', 'Z', 'kalman_tol', 'riccati_tol']

matlab/disp_dr_sparse.m

[]

['dr', 'order', 'var_list']

matlab/dr1.m

['dr', 'info', 'M_', 'options_', 'oo_']

['dr', 'task', 'M_', 'options_', 'oo_']

matlab/dyn_ramsey_dynamic_.m

['J', 'M_', 'dr']

['ys', 'lbar', 'M_', 'options_', 'dr', 'it_']

matlab/dyn_ramsey_static_.m

['resids', 'rJ', 'mult']

['x', 'M', 'options_', 'oo', 'it_']

matlab/forecast.m

['info']

['var_list', 'task']

matlab/generalized_cholesky.m

['AA']

['A']

matlab/generalized_cholesky2.m

['AA']

['A']

matlab/kalman/likelihood/missing_observations_diffuse_kalman_filter.m

['LIK', 'lik']

['T', 'R', 'Q', 'H', 'Pinf', 'Pstar', 'Y', 'start', 'Z', 'kalman_tol', 'riccati_tol', 'data_index', 'number_of_observations', 'no_more_missing_observations']

matlab/numgrad.m

['g', 'badg']

['fcn', 'f0', 'x', 'epsilon', 'varargin']

matlab/missing/rcond/rcond.m

['rcn']

['A']

matlab/set_stationary_variables_list.m

['ivar', 'vartan', 'options_']

['options_', 'M_']

matlab/simk.m

[]

[]

matlab/gensylv/sylvester3mr.m

['x']

['a', 'b', 'c', 'd']

matlab/kalman/likelihood/univariate_diffuse_kalman_filter.m

['LIK', 'llik']

['T', 'R', 'Q', 'H', 'Pinf', 'Pstar', 'Y', 'start', 'Z', 'kalman_tol', 'riccati_tol', 'data_index', 'number_of_observations', 'no_more_missing_observations']

matlab/kalman/likelihood/univariate_diffuse_kalman_filter_corr.m

['LIK', 'llik']

['T', 'R', 'Q', 'H', 'Pinf', 'Pstar', 'Y', 'start', 'Z', 'kalman_tol', 'riccati_tol', 'data_index', 'number_of_observations', 'no_more_missing_observations']

matlab/kalman/likelihood/univariate_kalman_filter_corr.m

['LIK', 'llik']

['T', 'R', 'Q', 'H', 'P', 'Y', 'start', 'mf', 'kalman_tol', 'riccati_tol', 'data_index', 'number_of_observations', 'no_more_missing_observations']

Location

Output

Input

matlab/AHessian.m

['AHess', 'DLIK', 'LIK']

['T', 'R', 'Q', 'H', 'P', 'Y', 'DT', 'DYss', 'DOm', 'DH', 'DP', 'start', 'mf', 'kalman_tol', 'riccati_tol']

matlab/AIM_first_order_solver.m

['dr', 'info']

['jacobia', 'M', 'dr', 'qz_criterium']

matlab/GetPosteriorMeanVariance.m

['mean', 'variance']

['M', 'drop']

matlab/gsa/Morris_Measure_Groups.m

['SAmeas', 'OutMatrix']

['NumFact', 'Sample', 'Output', 'p', 'Group']

matlab/gsa/Sampling_Function_2.m

['Outmatrix', 'OutFact']

['p', 'k', 'r', 'UB', 'LB', 'GroupMat']

matlab/adaptive_metropolis_hastings.m

[]

['TargetFun', 'ProposalFun', 'xparam1', 'vv', 'mh_bounds', 'varargin']

matlab/particle/auxiliary_particle_filter.m

['LIK', 'lik']

['ReducedForm', 'Y', 'start', 'DynareOptions']

matlab/bfgsi1.m

['H']

['H0', 'dg', 'dx']

matlab/cartesian_product_of_sets.m

['cprod']

['varargin']

matlab/ms-sbvar/clean_files_for_second_type_of_mex.m

[]

['M_', 'options_', 'type']

matlab/ms-sbvar/clean_ms_estimation_files.m

[]

['file_tag']

matlab/ms-sbvar/clean_ms_forecast_files.m

[]

['file_tag']

matlab/ms-sbvar/clean_ms_init_files.m

[]

['file_tag']

matlab/ms-sbvar/clean_ms_irf_files.m

[]

['file_tag']

matlab/ms-sbvar/clean_ms_mdd_files.m

[]

['file_tag', 'pt']

matlab/ms-sbvar/clean_ms_probabilities_files.m

[]

['file_tag']

matlab/ms-sbvar/clean_ms_simulation_files.m

[]

['file_tag']

matlab/ms-sbvar/clean_ms_variance_decomposition_files.m

[]

['file_tag']

matlab/ms-sbvar/clean_sbvar_files.m

[]

[]

matlab/cmaes.m

['xmin', 'fmin', 'counteval', 'stopflag', 'out', 'bestever']

['fitfun', 'xstart', 'insigma', 'inopts', 'varargin']

matlab/@dynDate/colon.m

['sp']

['a', 'b']

matlab/kalman/likelihood/computeDLIK.m

['Da', 'DP1', 'DLIK', 'D2a', 'D2P1', 'Hesst']

['k', 'tmp', 'Z', 'Zflag', 'v', 'T', 'K', 'P', 'iF', 'Da', 'DYss', 'DT', 'DOm', 'DP', 'DH', 'notsteady', 'D2a', 'D2Yss', 'D2T', 'D2Om', 'D2P']

matlab/utilities/dataset/compute_acov.m

['dataset_']

['dataset_']

matlab/utilities/dataset/compute_corr.m

['dataset_']

['dataset_']

matlab/utilities/dataset/compute_cova.m

['dataset_']

['dataset_']

matlab/utilities/dataset/compute_stdv.m

['dataset_']

['dataset_']

matlab/ms-sbvar/create_dir.m

[]

['dirname']

matlab/csminit1.m

['fhat', 'xhat', 'fcount', 'retcode']

['fcn', 'x0', 'f0', 'g0', 'badg', 'H0', 'varargin']

matlab/gsa/cumplot.m

['h']

['x']

matlab/gsa/dat_fil_.m

['c']

['data_file']

matlab/ms-sbvar/delete_dir_if_exists.m

[]

['dirname']

matlab/ms-sbvar/delete_if_exists.m

[]

['fname']

matlab/utilities/general/demean.m

['c']

['x']

matlab/utilities/dataset/descriptive_statistics.m

['dataset_']

['dataset_', 'statistic', 'varagin']

matlab/discretionary_policy.m

['info']

['var_list']

matlab/discretionary_policy_1.m

['dr', 'ys', 'info']

['oo_', 'Instruments']

matlab/discretionary_policy_engine.m

['H', 'G', 'retcode']

['AAlag', 'AA0', 'AAlead', 'BB', 'bigw', 'instr_id', 'beta', 'solve_maxit', 'discretion_tol', 'qz_criterium', 'H00', 'verbose']

matlab/dsge_likelihood.m

['fval', 'DLIK', 'Hess', 'exit_flag', 'ys', 'trend_coeff', 'info', 'Model', 'DynareOptions', 'BayesInfo', 'DynareResults']

['xparam1', 'DynareDataset', 'DynareOptions', 'Model', 'EstimatedParameters', 'BayesInfo', 'DynareResults', 'derivatives_info']

matlab/@dynDate/dynDate.m

['date']

['a']

matlab/@dynDates/dynDates.m

['dd']

['varargin']

matlab/utilities/doc/dynInfo.m

[]

['fun']

matlab/@dynSeries/dynSeries.m

['ts']

['a', 'b', 'c', 'd']

matlab/utilities/tests/dynTest.m

[]

['fun', 'dynare_path']

matlab/@dynTime/dynTime.m

['sp']

['a']

matlab/utilities/tests/dyn_assert.m

['t']

['A', 'B', 'tol']

matlab/dyn_figure.m

['h']

['DynareOptions', 'varargin']

matlab/dyn_first_order_solver.m

['dr', 'info']

['jacobia', 'M_', 'dr', 'options', 'task']

matlab/dyn_forecast.m

['info']

['var_list', 'task']

matlab/dyn_ramsey_static.m

['steady_state', 'params', 'check']

['x', 'M', 'options_', 'oo']

matlab/dyn_risky_steadystate_solver.m

['dr', 'info']

['ys0', 'M', 'dr', 'options', 'oo']

matlab/ms-sbvar/dyn_save_graph.m

[]

['dirname', 'graph_name', 'graph_formats', 'TeX', 'names', 'texnames', 'caption']

matlab/dyn_saveas.m

[]

['h', 'fname', 'DynareOptions']

matlab/dyn_second_order_solver.m

['dr']

['jacobia', 'hessian', 'dr', 'M_', 'threads_ABC', 'threads_BC']

matlab/parallel/dynareParallelDeleteNewFiles.m

[]

['PRCDir', 'Parallel', 'PRCDirSnapshot']

matlab/parallel/dynareParallelFindNewFiles.m

['NewFilesFrom', 'NewFileList']

['FileList', 'Parallel', 'PRCDir']

matlab/parallel/dynareParallelGetNewFiles.m

['PRCDirSnapshot']

['PRCDir', 'Parallel', 'PRCDirSnapshot']

matlab/parallel/dynareParallelListAllFiles.m

['fileList']

['dirName', 'PRCDir', 'Parallel']

matlab/parallel/dynareParallelSnapshot.m

['PRCDirSnapshot']

['PRCDir', 'Parallel']

matlab/@dynDate/eq.m

['c']

['a', 'b']

matlab/evaluate_static_model.m

['residuals', 'check1', 'jacob']

['ys', 'exo_ss', 'params', 'M', 'options']

matlab/evaluate_steady_state.m

['ys', 'params', 'info']

['ys_init', 'M', 'options', 'oo', 'steadystate_check_flag']

matlab/evaluate_steady_state_file.m

['ys', 'params', 'info']

['ys_init', 'exo_ss', 'M', 'options']

matlab/ms-sbvar/identification/exclusions.m

['Ui', 'Vi', 'n0', 'np', 'ixmC0Pres']

['nvar', 'nexo', 'options_ms']

matlab/@dynSeries/exp.m

['ts']

['ts']

matlab/ep/extended_path_parfor.m

['time_series']

['initial_conditions', 'sample_size']

matlab/gsa/filt_mc_.m

['rmse_MC', 'ixx']

['OutDir', 'data_info']

matlab/@dynDate/format.m

['p']

['date']

matlab/gauss_hermite_weights_and_nodes.m

['nodes', 'weights']

['n']

matlab/gauss_legendre_weights_and_nodes.m

['nodes', 'weights']

['n', 'a', 'b']

matlab/@dynDate/ge.m

['c']

['a', 'b']

matlab/gensylv_fp.m

['X']

['A', 'B', 'C', 'D', 'block', 'tol']

matlab/getIrfShocksIndx.m

['irf_shocks_indx']

[]

matlab/@dynSeries/getName.m

['name']

['ts', 'i']

matlab/@dynSeries/getTexName.m

['texname']

['ts', 'i']

matlab/@dynSeries/getTime.m

['time']

['ts']

matlab/@dynSeries/getVarIndex.m

['i']

['ts', 'name']

matlab/get_Hessian.m

['Hess']

['T', 'R', 'Q', 'H', 'P', 'Y', 'DT', 'DYss', 'DOm', 'DH', 'DP', 'D2T', 'D2Yss', 'D2Om', 'D2H', 'D2P', 'start', 'mf', 'kalman_tol', 'riccati_tol']

matlab/get_existing_subsamples_indx.m

['subsamples_indx']

['name1', 'name2']

matlab/utilities/doc/get_internal_doc_block.m

['block']

['fname', 'fpath']

matlab/get_new_or_existing_ei_index.m

['indx']

['substructure_name', 'name1', 'name2']

matlab/get_optimal_policy_discount_factor.m

['discount_factor']

['params', 'param_names']

matlab/get_subsamples_range_indx.m

['range_indx']

['subsamples_indx', 'range_label']

matlab/get_variables_list.m

['ivar', 'vartan', 'options_']

['options_', 'M_']

matlab/gsa/ghx2transition.m

['A', 'B']

['mm', 'iv', 'ic', 'aux']

matlab/gsa/gsa_plotmatrix.m

[]

['type', 'varargin']

matlab/gsa/gsa_skewness.m

['s']

['y']

matlab/gsa/gsa_speed.m

['tadj', 'iff']

['A', 'B', 'mf', 'p']

matlab/@dynDate/gt.m

['c']

['a', 'b']

matlab/@dynSeries/horzcat.m

['a']

['varargin']

matlab/@dynSeries/private/horzcat2.m

['a']

['b', 'c']

matlab/identification_analysis.m

['ide_hess', 'ide_moments', 'ide_model', 'ide_lre', 'derivatives_info', 'info']

['params', 'indx', 'indexo', 'options_ident', 'data_info', 'prior_exist', 'name_tex', 'init']

matlab/utilities/dataset/initialize_dataset.m

['dataset_']

['datafile', 'varobs', 'first', 'nobs', 'transformation', 'prefilter', 'xls']

matlab/ms-sbvar/initialize_ms_sbvar_options.m

['options_']

['M_', 'options_']

matlab/internals.m

[]

['flag', 'varargin']

matlab/kalman/likelihood/kalman_filter_d.m

['dLIK', 'dlik', 'a', 'Pstar']

['Y', 'start', 'last', 'a', 'Pinf', 'Pstar', 'kalman_tol', 'riccati_tol', 'presample', 'T', 'R', 'Q', 'H', 'Z', 'mm', 'pp', 'rr']

matlab/kalman/likelihood/kalman_filter_ss.m

['LIK', 'likk', 'a']

['Y', 'start', 'last', 'a', 'T', 'K', 'iF', 'dF', 'Z', 'pp', 'Zflag', 'analytic_derivation', 'Da', 'DT', 'DYss', 'D2a', 'D2T', 'D2Yss']

matlab/@dynDate/le.m

['c']

['a', 'b']

matlab/particle/local_state_space_iteration/local_state_space_iteration_2.m

['y', 'y_']

['yhat', 'epsilon', 'ghx', 'ghu', 'constant', 'ghxx', 'ghuu', 'ghxu', 'a', 'b', 'c']

matlab/@dynSeries/log.m

['ts']

['ts']

matlab/gsa/log_trans_.m

['yy', 'xdir', 'isig', 'lam']

['y0', 'xdir0']

matlab/ms-sbvar/identification/lower_cholesky.m

['Ui', 'Vi', 'n0', 'np', 'ixmC0Pres']

['nvar', 'nexo', 'options_ms']

matlab/@dynDate/lt.m

['c']

['a', 'b']

matlab/gsa/map_ident_.m

[]

['OutputDirectoryName']

matlab/@dynDate/max.m

['c']

['a', 'b']

matlab/gsa/mc_moments.m

['vdec', 'cc', 'ac']

['mm', 'ss', 'dr']

matlab/metropolis_run_analysis.m

[]

['M', 'basetopt', 'j']

matlab/@dynDate/min.m

['c']

['a', 'b']

matlab/@dynDate/minus.m

['c']

['a', 'b']

matlab/kalman/likelihood/missing_observations_kalman_filter_d.m

['dLIK', 'dlik', 'a', 'Pstar']

['data_index', 'number_of_observations', 'no_more_missing_observations', 'Y', 'start', 'last', 'a', 'Pinf', 'Pstar', 'kalman_tol', 'riccati_tol', 'presample', 'T', 'R', 'Q', 'H', 'Z', 'mm', 'pp', 'rr']

matlab/ms-sbvar/ms_compute_mdd.m

['options_', 'oo_']

['M_', 'options_', 'oo_']

matlab/ms-sbvar/ms_compute_probabilities.m

['options_', 'oo_']

['M_', 'options_', 'oo_']

matlab/ms-sbvar/ms_estimation.m

['options_', 'oo_']

['M_', 'options_', 'oo_']

matlab/ms-sbvar/ms_forecast.m

['options_', 'oo_']

['M_', 'options_', 'oo_']

matlab/ms-sbvar/ms_irf.m

['options_', 'oo_']

['varlist', 'M_', 'options_', 'oo_']

matlab/ms-sbvar/ms_mardd.m

[]

['options_']

matlab/ms-sbvar/ms_sbvar_setup.m

[]

['options_']

matlab/ms-sbvar/ms_simulation.m

['options_', 'oo_']

['M_', 'options_', 'oo_']

matlab/ms-sbvar/ms_variance_decomposition.m

['options_', 'oo_']

['M_', 'options_', 'oo_']

matlab/ms-sbvar/ms_write_markov_file.m

[]

['fname', 'options']

matlab/ms-sbvar/ms_write_mhm_input.m

[]

['fname', 'options_ms']

matlab/utilities/tests/mtest.m

['check']

['fname', 'fpath']

matlab/particle/multivariate_smooth_resampling.m

['new_particles']

['weights', 'particles', 'number_of_new_particles', 'number_of_partitions']

matlab/gsa/myprctilecol.m

['y']

['x', 'p']

matlab/utilities/general/nandemean.m

['c']

['x']

matlab/missing/nanmean/nanmean.m

['y']

['x']

matlab/utilities/general/ndim.m

['n']

['x']

matlab/@dynDate/ne.m

['c']

['a', 'b']

matlab/non_linear_dsge_likelihood.m

['fval', 'exit_flag', 'ys', 'trend_coeff', 'info', 'Model', 'DynareOptions', 'BayesInfo', 'DynareResults']

['xparam1', 'DynareDataset', 'DynareOptions', 'Model', 'EstimatedParameters', 'BayesInfo', 'DynareResults']

matlab/numgrad2.m

['g', 'badg']

['fcn', 'f0', 'x', 'epsilon', 'varargin']

matlab/plot_identification.m

[]

['params', 'idemoments', 'idehess', 'idemodel', 'idelre', 'advanced', 'tittxt', 'name', 'IdentifDirectoryName']

matlab/ms-sbvar/plot_ms_forecast.m

[]

['M_', 'options_', 'forecast', 'figure_name']

matlab/ms-sbvar/plot_ms_irf.m

[]

['M_', 'options_', 'irf', 'figure_name', 'varlist']

matlab/ms-sbvar/plot_ms_probabilities.m

[]

['computed_probabilities', 'options_']

matlab/ms-sbvar/plot_ms_variance_decomposition.m

[]

['M_', 'options_', 'vd', 'figure_name', 'varargin']

matlab/ms-sbvar/plot_ms_variance_decomposition_error_bands.m

[]

['M_', 'options_', 'vddata', 'figure_name']

matlab/@dynDate/plus.m

['c']

['a', 'b']

matlab/gsa/prior_draw_gsa.m

['pdraw']

['init', 'rdraw']

matlab/gsa/priorcdf.m

['xcum']

['para', 'pshape', 'p6', 'p7', 'p3', 'p4']

matlab/gsa/read_data.m

['gend', 'data']

[]

matlab/gsa/redform_map.m

[]

['dirname']

matlab/gsa/redform_screen.m

[]

['dirname']

matlab/reduced_rank_cholesky.m

['T']

['X']

matlab/particle/resample.m

['indx']

['weights', 'method1', 'method2']

matlab/ms-sbvar/reshape_ascii_forecast_data.m

['forecast_data']

['endo_nbr', 'psize', 'horizon', 'ascii_data']

matlab/ms-sbvar/reshape_ascii_irf_data.m

['irf_data']

['endo_nbr', 'psize', 'horizon', 'ascii_data']

matlab/ms-sbvar/reshape_ascii_variance_decomposition_data.m

['vd_data']

['endo_nbr', 'psize', 'horizon', 'ascii_data']

matlab/particle/residual_resampling.m

['indx']

['weights']

matlab/ms-sbvar/sbvar.m

[]

['M', 'options']

matlab/score.m

['DLIK']

['T', 'R', 'Q', 'H', 'P', 'Y', 'DT', 'DYss', 'DOm', 'DH', 'DP', 'start', 'mf', 'kalman_tol', 'riccati_tol']

matlab/particle/sequential_importance_particle_filter.m

['LIK', 'lik']

['ReducedForm', 'Y', 'start', 'DynareOptions']

matlab/@dynTime/setFreq.m

['sp']

['sp', 'freq']

matlab/@dynTime/setSize.m

['sp']

['sp', 'n']

matlab/@dynTime/setTime.m

['sp']

['sp', 'i', 'date']

matlab/ms-sbvar/set_file_tags.m

['options_']

['options_']

matlab/ms-sbvar/set_ms_estimation_file.m

['options_', 'oo_']

['file_tag', 'options_', 'oo_']

matlab/ms-sbvar/set_ms_simulation_file.m

['options_']

['options_']

matlab/gsa/set_shocks_param.m

[]

['xparam1']

matlab/sim1_lbj.m

[]

[]

matlab/sim1_purely_backward.m

[]

[]

matlab/sim1_purely_forward.m

[]

[]

matlab/simplex_optimization_routine.m

['x', 'fval', 'exitflag']

['objective_function', 'x', 'options', 'varargin']

matlab/gsa/smirnov.m

['H', 'prob', 'd']

['x1', 'x2', 'alpha', 'iflag']

matlab/solve_perfect_foresight_model.m

['flag', 'endo_simul', 'err']

['endo_simul', 'exo_simul', 'pfm']

matlab/solve_stochastic_perfect_foresight_model.m

['flag', 'endo_simul', 'err']

['endo_simul', 'exo_simul', 'pfm', 'nnodes', 'order']

matlab/@dynDates/sort.m

['dd']

['dd']

matlab/gsa/stab_map_.m

['x0']

['OutputDirectoryName']

matlab/gsa/stab_map_1.m

['proba', 'dproba']

['lpmat', 'ibehaviour', 'inonbehaviour', 'aname', 'iplot', 'ipar', 'dirname', 'pcrit']

matlab/gsa/stab_map_2.m

[]

['x', 'alpha2', 'pvalue', 'fnam', 'dirname', 'xparam1']

matlab/gsa/stand_.m

['y', 'meany', 'stdy']

['x']

matlab/stochastic_solvers.m

['dr', 'info']

['dr', 'task', 'M_', 'options_', 'oo_']

matlab/@dynTime/subsref.m

['B']

['A', 'S']

matlab/gsa/tcrit.m

['t_crit']

['n', 'pval0']

matlab/gsa/teff.m

['yt', 'j0', 'ir', 'ic']

['T', 'Nsam', 'istable']

matlab/gsa/th_moments.m

['vdec', 'corr', 'autocorr', 'z', 'zz']

['dr', 'var_list']

matlab/particle/traditional_resampling.m

['indx']

['weights', 'noise']

matlab/gsa/trank.m

['yr']

['y']

matlab/@dynDate/uminus.m

['b']

['a']

matlab/kalman/likelihood/univariate_computeDLIK.m

['Da', 'DP1', 'DLIK', 'D2a', 'D2P', 'Hesst']

['k', 'indx', 'Z', 'Zflag', 'v', 'K', 'PZ', 'F', 'Da', 'DYss', 'DP', 'DH', 'notsteady', 'D2a', 'D2Yss', 'D2P']

matlab/kalman/likelihood/univariate_computeDstate.m

['Da1', 'DP1', 'D2a', 'D2P']

['k', 'a', 'P', 'T', 'Da', 'DP', 'DT', 'DOm', 'notsteady', 'D2a', 'D2P', 'D2T', 'D2Om']

matlab/kalman/likelihood/univariate_kalman_filter_d.m

['dLIK', 'dlikk', 'a', 'Pstar', 'llik']

['data_index', 'number_of_observations', 'no_more_missing_observations', 'Y', 'start', 'last', 'a', 'Pinf', 'Pstar', 'kalman_tol', 'riccati_tol', 'presample', 'T', 'R', 'Q', 'H', 'Z', 'mm', 'pp', 'rr']

matlab/kalman/likelihood/univariate_kalman_filter_ss.m

['LIK', 'likk', 'a']

['Y', 'start', 'last', 'a', 'P', 'kalman_tol', 'T', 'H', 'Z', 'pp', 'Zflag', 'analytic_derivation', 'Da', 'DT', 'DYss', 'DP', 'DH', 'D2a', 'D2T', 'D2Yss', 'D2P']

matlab/particle/univariate_smooth_resampling.m

['new_particles']

['weights', 'particles', 'number_of_new_particles']

matlab/@dynDate/uplus.m

['b']

['a']

matlab/ms-sbvar/identification/upper_cholesky.m

['Ui', 'Vi', 'n0', 'np', 'ixmC0Pres']

['nvar', 'nexo', 'options_ms']

matlab/user_has_octave_forge_package.m

['hasPackage']

['package']

Location

Old Output

New Output

Old Input

New Input

matlab/CheckPath.m

['DirectoryName']

['DirectoryName']

['type']

['type', 'dname']

matlab/DsgeVarLikelihood.m

['fval', 'cost_flag', 'info', 'PHI', 'SIGMAu', 'iXX', 'prior']

['fval', 'grad', 'hess', 'exit_flag', 'info', 'PHI', 'SIGMAu', 'iXX', 'prior']

['xparam1', 'gend']

['xparam1', 'DynareDataset', 'DynareOptions', 'Model', 'EstimatedParameters', 'BayesInfo', 'DynareResults']

matlab/block_bytecode_mfs_steadystate.m

['r', 'g1']

['r', 'g1']

['y', 'b', 'y_all']

['y', 'b', 'y_all', 'exo', 'params', 'M']

matlab/block_mfs_steadystate.m

['r', 'g1']

['r', 'g1']

['y', 'b', 'y_all']

['y', 'b', 'y_all', 'exo', 'params', 'M']

matlab/bytecode_steadystate.m

['r', 'g1']

['r', 'g1']

['y']

['y', 'exo', 'params']

matlab/check.m

['result', 'info']

['result', 'info']

[]

['M', 'options', 'oo']

matlab/parallel/closeSlave.m

[]

[]

['Parallel', 'TmpFolder']

['Parallel', 'TmpFolder', 'partial']

matlab/utilities/dataset/describe_missing_data.m

['data_index', 'number_of_observations', 'no_more_missing_observations']

['i', 'n', 's', 'j']

['data', 'gend', 'nvarobs']

['data']

matlab/partial_information/disclyap_fast.m

['X']

['X']

['G', 'V', 'ch']

['G', 'V', 'tol', 'ch']

matlab/dsgevar_posterior_density.m

['bvar']

['bvar']

['deep']

['deep', 'DynareDataset', 'DynareOptions', 'Model', 'EstimatedParameters', 'BayesInfo', 'DynareResults']

matlab/dynare_config.m

['dynareroot']

['dynareroot']

['path_to_dynare']

['path_to_dynare', 'verbose']

matlab/dynare_estimation.m

[]

[]

['var_list', 'varargin']

['var_list', 'dname']

matlab/dynare_estimation_init.m

['data', 'rawdata', 'xparam1', 'data_info']

['dataset_', 'xparam1', 'M_', 'options_', 'oo_', 'estim_params_', 'bayestopt_', 'fake']

['var_list_', 'dname', 'gsa_flag']

['var_list_', 'dname', 'gsa_flag', 'M_', 'options_', 'oo_', 'estim_params_', 'bayestopt_']

matlab/dynare_resolve.m

['A', 'B', 'ys', 'info']

['A', 'B', 'ys', 'info', 'Model', 'DynareOptions', 'DynareResults']

['mode']

['Model', 'DynareOptions', 'DynareResults', 'mode']

matlab/dynare_solve_block_or_bytecode.m

['x', 'info']

['x', 'info']

['y', 'exo', 'params']

['y', 'exo', 'params', 'options', 'M']

matlab/evaluate_planner_objective.m

['oo1']

['planner_objective_value']

['dr', 'M', 'oo', 'options']

['M', 'oo', 'options']

matlab/gensylv/gensylv.m

['err', 'E']

['err', 'E']

['fake', 'A', 'B', 'C', 'D']

['kron_prod', 'A', 'B', 'C0', 'D']

matlab/getH.m

['H', 'dA', 'dOm', 'Hss', 'gp', 'info']

['H', 'dA', 'dOm', 'Hss', 'gp', 'd2A', 'd2Om', 'H2ss']

['A', 'B', 'M_', 'oo_', 'kronflag', 'indx', 'indexo']

['A', 'B', 'M_', 'oo_', 'kronflag', 'indx', 'indexo']

matlab/getJJ.m

['JJ', 'H', 'gam', 'gp']

['JJ', 'H', 'gam', 'gp', 'dA', 'dOm', 'dYss']

['A', 'B', 'M_', 'oo_', 'options_', 'kronflag', 'indx', 'indexo', 'mf', 'nlags', 'useautocorr']

['A', 'B', 'M_', 'oo_', 'options_', 'kronflag', 'indx', 'indexo', 'mf', 'nlags', 'useautocorr']

matlab/get_prior_info.m

[]

[]

['info']

['info', 'plt_flag']

matlab/get_the_name.m

['nam', 'texnam']

['nam', 'texnam']

['k', 'TeX']

['k', 'TeX', 'M_', 'estim_params_', 'options_']

matlab/ep/homotopic_steps.m

['info', 'number_of_calls']

['info', 'tmp']

['tdx', 'positive_var_indx', 'shocks', 'init_weight', 'step', 'init', 'number_of_calls']

['endo_simul0', 'exo_simul0', 'initial_weight', 'step_length', 'pfm']

matlab/homotopy1.m

[]

['M', 'oo', 'info', 'ip', 'ix', 'ixd']

['values', 'step_nbr']

['values', 'step_nbr', 'M', 'options', 'oo']

matlab/homotopy3.m

[]

['M', 'oo', 'info', 'ip', 'ix', 'ixd']

['values', 'step_nbr']

['values', 'step_nbr', 'M', 'options', 'oo']

matlab/identification_checks.m

['McoH', 'McoJ', 'McoGP', 'PcoH', 'PcoJ', 'PcoGP', 'condH', 'condJ', 'condGP', 'eH', 'eJ', 'eGP', 'ind01', 'ind02', 'indnoH', 'indnoJ', 'ixnoH', 'ixnoJ']

['condJ', 'ind0', 'indnoJ', 'ixnoJ', 'McoJ', 'PcoJ', 'jweak', 'jweak_pair']

['H', 'JJ', 'gp']

['JJ', 'hess_flag']

matlab/initial_estimation_checks.m

[]

['DynareResults']

['xparam1', 'gend', 'data', 'data_index', 'number_of_observations', 'no_more_missing_observations']

['objective_function', 'xparam1', 'DynareDataset', 'Model', 'EstimatedParameters', 'DynareOptions', 'BayesInfo', 'DynareResults']

matlab/kalman/likelihood/kalman_filter.m

['LIK', 'lik']

['LIK', 'LIKK', 'a', 'P']

['T', 'R', 'Q', 'H', 'P', 'Y', 'start', 'mf', 'kalman_tol', 'riccati_tol']

['Y', 'start', 'last', 'a', 'P', 'kalman_tol', 'riccati_tol', 'presample', 'T', 'Q', 'R', 'H', 'Z', 'mm', 'pp', 'rr', 'Zflag', 'diffuse_periods', 'analytic_derivation', 'DT', 'DYss', 'DOm', 'DH', 'DP', 'D2T', 'D2Yss', 'D2Om', 'D2H', 'D2P']

matlab/lpdfgam.m

['ldens']

['ldens', 'Dldens', 'D2ldens']

['x', 'a', 'b']

['x', 'a', 'b']

matlab/lpdfgbeta.m

['ldens']

['ldens', 'Dldens', 'D2ldens']

['x', 'a', 'b', 'aa', 'bb']

['x', 'a', 'b', 'aa', 'bb']

matlab/lpdfig1.m

['ldens']

['ldens', 'Dldens', 'D2ldens']

['x', 's', 'nu']

['x', 's', 'nu']

matlab/lpdfig2.m

['ldens']

['ldens', 'Dldens', 'D2ldens']

['x', 's', 'nu']

['x', 's', 'nu']

matlab/lpdfnorm.m

['ldens']

['ldens', 'Dldens', 'D2ldens']

['x', 'a', 'b']

['x', 'a', 'b']

matlab/lyapunov_symm.m

['x', 'u']

['x', 'u']

['a', 'b', 'qz_criterium', 'lyapunov_complex_threshold', 'method']

['a', 'b', 'third_argument', 'lyapunov_complex_threshold', 'method', 'R']

matlab/kalman/likelihood/missing_observations_kalman_filter.m

['LIK', 'lik']

['LIK', 'lik', 'a', 'P']

['T', 'R', 'Q', 'H', 'P', 'Y', 'start', 'mf', 'kalman_tol', 'riccati_tol', 'data_index', 'number_of_observations', 'no_more_missing_observations']

['data_index', 'number_of_observations', 'no_more_missing_observations', 'Y', 'start', 'last', 'a', 'P', 'kalman_tol', 'riccati_tol', 'presample', 'T', 'Q', 'R', 'H', 'Z', 'mm', 'pp', 'rr', 'Zflag', 'diffuse_periods']

matlab/mode_check.m

[]

[]

['x', 'fval', 'hessian', 'gend', 'data', 'lb', 'ub', 'data_index', 'number_of_observations', 'no_more_missing_observations']

['fun', 'x', 'hessian', 'DynareDataset', 'DynareOptions', 'Model', 'EstimatedParameters', 'BayesInfo', 'DynareResults']

matlab/model_diagnostics.m

[]

[]

['M_', 'options_', 'oo_']

['M', 'options', 'oo']

matlab/model_info.m

[]

[]

[]

['varargin']

matlab/moment_function.m

['g', 'flag']

['g', 'grad', 'hess', 'flag']

['xparams', 'sample_moments', 'dataset', 'options', 'parallel']

['xparams', 'sample_moments', 'dataset', 'options', 'parallel']

matlab/mr_gstep.m

['f0', 'x', 'ig']

['f0', 'x', 'ig']

['h1', 'x', 'func0', 'htol0', 'varargin']

['h1', 'x', 'func0', 'htol0', 'DynareDataset', 'DynareOptions', 'Model', 'EstimatedParameters', 'BayesInfo', 'DynareResults']

matlab/mr_hessian.m

['hessian_mat', 'gg', 'htol1', 'ihh', 'hh_mat0', 'hh1']

['hessian_mat', 'gg', 'htol1', 'ihh', 'hh_mat0', 'hh1']

['init', 'x', 'func', 'hflag', 'htol0', 'varargin']

['init', 'x', 'func', 'hflag', 'htol0', 'DynareDataset', 'DynareOptions', 'Model', 'EstimatedParameters', 'BayesInfo', 'DynareResults']

matlab/newrat.m

['xparam1', 'hh', 'gg', 'fval', 'igg']

['xparam1', 'hh', 'gg', 'fval', 'igg']

['func0', 'x', 'hh', 'gg', 'igg', 'ftol0', 'nit', 'flagg', 'varargin']

['func0', 'x', 'analytic_derivation', 'ftol0', 'nit', 'flagg', 'DynareDataset', 'DynareOptions', 'Model', 'EstimatedParameters', 'BayesInfo', 'DynareResults']

matlab/osr_obj.m

['loss', 'vx', 'info']

['loss', 'vx', 'junk', 'exit_flag']

['x', 'i_params', 'i_var', 'weights']

['x', 'i_params', 'i_var', 'weights']

matlab/plot_icforecast.m

[]

[]

['Variables', 'periods']

['Variables', 'periods', 'options_']

matlab/plot_priors.m

[]

[]

['bayestopt_', 'M_', 'options_']

['bayestopt_', 'M_', 'estim_params_', 'options_']

matlab/prior_analysis.m

['oo_']

['oo_']

['type', 'arg1', 'arg2', 'arg3', 'options_', 'M_', 'oo_']

['type', 'arg1', 'arg2', 'arg3', 'options_', 'M_', 'oo_', 'estim_params_']

matlab/prior_bounds.m

['bounds']

['bounds']

['bayestopt']

['bayestopt', 'options']

matlab/prior_posterior_statistics.m

[]

[]

['type', 'Y', 'gend', 'data_index', 'missing_value']

['type', 'dataset']

matlab/prior_sampler.m

['results']

['results']

['drsave', 'M_', 'bayestopt_', 'options_', 'oo_']

['drsave', 'M_', 'bayestopt_', 'options_', 'oo_', 'estim_params_']

matlab/priordens.m

['logged_prior_density']

['logged_prior_density', 'dlprior', 'd2lprior']

['x', 'pshape', 'p6', 'p7', 'p3', 'p4', 'initialization']

['x', 'pshape', 'p6', 'p7', 'p3', 'p4', 'initialization']

matlab/random_walk_metropolis_hastings.m

[]

['record']

['TargetFun', 'ProposalFun', 'xparam1', 'vv', 'mh_bounds', 'varargin']

['TargetFun', 'ProposalFun', 'xparam1', 'vv', 'mh_bounds', 'varargin']

matlab/resol.m

['dr', 'info']

['dr', 'info', 'M', 'options', 'oo']

['steady_state_0', 'check_flag']

['check_flag', 'M', 'options', 'oo']

matlab/set_all_parameters.m

[]

['M']

['xparam1']

['xparam1', 'estim_params', 'M']

matlab/simult.m

['y_']

['y_']

['ys', 'dr']

['y0', 'dr']

matlab/solve_one_boundary.m

['y', 'info']

['y', 'info']

['fname', 'y', 'x', 'params', 'steady_state', 'y_index_eq', 'nze', 'periods', 'is_linear', 'Block_Num', 'y_kmin', 'maxit_', 'solve_tolf', 'lambda', 'cutoff', 'stack_solve_algo', 'forward_backward', 'is_dynamic', 'verbose']

['fname', 'y', 'x', 'params', 'steady_state', 'y_index_eq', 'nze', 'periods', 'is_linear', 'Block_Num', 'y_kmin', 'maxit_', 'solve_tolf', 'lambda', 'cutoff', 'stack_solve_algo', 'forward_backward', 'is_dynamic', 'verbose', 'M', 'options', 'oo']

matlab/solve_two_boundaries.m

['y']

['y']

['fname', 'y', 'x', 'params', 'steady_state', 'y_index', 'nze', 'periods', 'y_kmin_l', 'y_kmax_l', 'is_linear', 'Block_Num', 'y_kmin', 'maxit_', 'solve_tolf', 'lambda', 'cutoff', 'stack_solve_algo']

['fname', 'y', 'x', 'params', 'steady_state', 'y_index', 'nze', 'periods', 'y_kmin_l', 'y_kmax_l', 'is_linear', 'Block_Num', 'y_kmin', 'maxit_', 'solve_tolf', 'lambda', 'cutoff', 'stack_solve_algo', 'M', 'oo']

matlab/steady_.m

[]

['steady_state', 'params', 'info']

[]

['M_', 'options_', 'oo_']

matlab/gensylv/sylvester3a.m

['x']

['x0', 'flag']

['x0', 'a', 'b', 'c', 'd']

['x0', 'a', 'b', 'c', 'dd']

matlab/thet2tau.m

['tau']

['tau']

['params', 'indx', 'indexo', 'flagmoments', 'mf', 'nlags', 'useautocorr']

['params', 'M_', 'oo_', 'indx', 'indexo', 'flagmoments', 'mf', 'nlags', 'useautocorr']

matlab/kalman/likelihood/univariate_kalman_filter.m

['LIK', 'llik']

['LIK', 'lik', 'a', 'P']

['T', 'R', 'Q', 'H', 'P', 'Y', 'start', 'mf', 'kalman_tol', 'riccati_tol', 'data_index', 'number_of_observations', 'no_more_missing_observations']

['data_index', 'number_of_observations', 'no_more_missing_observations', 'Y', 'start', 'last', 'a', 'P', 'kalman_tol', 'riccati_tol', 'presample', 'T', 'Q', 'R', 'H', 'Z', 'mm', 'pp', 'rr', 'Zflag', 'diffuse_periods', 'analytic_derivation', 'DT', 'DYss', 'DOm', 'DH', 'DP', 'D2T', 'D2Yss', 'D2Om', 'D2H', 'D2P']