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function [series, p] = histvalf_initvalf(caller, M_, options)
% [series, p] = histvalf_initvalf(caller, M_, options)
% Handles options for histval_file and initval_file
%
% INPUTS
% - caller [char] row array, name of calling function
% - M_ [struct] model description, a.k.a
% - options [struct] options specific to histval_file and initval_file
%
% OUTPUTS
% - series [dseries] selected data from a file or a dseries
% - p [integer] number of periods (excluding the initial and terminal conditions)
% Copyright © 2003-2024 Dynare Team
%
% This file is part of Dynare.
%
% Dynare is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
%
% Dynare is distributed in the hope that it will be useful,
% but WITHOUT ANY WARRANTY; without even the implied warranty of
% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
% GNU General Public License for more details.
%
% You should have received a copy of the GNU General Public License
% along with Dynare. If not, see <https://www.gnu.org/licenses/>.
% dseries
if isfield(options, 'series')
series = evalin('base', options.series);
dseries_ispresent = true;
else
dseries_ispresent = false;
end
% file
datafile = '';
if isfield(options, 'filename')
warning('%s_FILE: option FILENAME is deprecated, please use option DATAFILE', caller)
if dseries_ispresent
error('%s_FILE: you can''t use option FILENAME and option SERIES at the same time', caller)
end
if isfield(options, 'datafile')
error('%s_FILE: you can''t use option DATAFILE and option FILENAME at the same time', caller)
end
datafile = options.filename;
end
if isfield(options, 'datafile')
if dseries_ispresent
error('%s_FILE: you can''t use option DATAFILE and option SERIES at the same time', caller)
end
datafile = options.datafile;
end
if datafile
[~,basename,extension] = fileparts(datafile);
% Auto-detect extension if not provided
if isempty(extension)
if exist([basename '.m'],'file')
extension = '.m';
elseif exist([basename '.mat'],'file')
extension = '.mat';
elseif exist([basename '.xls'],'file')
extension = '.xls';
elseif exist([basename '.xlsx'],'file')
extension = '.xlsx';
else
error('%s_FILE: Can''t find datafile: %s.{m,mat,xls,xlsx}', caller, basename);
end
end
fullname = [basename extension];
series = dseries(fullname);
end
% checking that all variable are present
error_flag = false;
for i = 1:M_.orig_endo_nbr
if ~series.exist(M_.endo_names{i})
dprintf('%s_FILE: endogenous variable %s is missing', caller, M_.endo_names{i})
error_flag = true;
end
end
for i = 1:M_.exo_nbr
if ~series.exist(M_.exo_names{i})
dprintf('%s_FILE: exogenous variable %s is missing', caller, M_.exo_names{i})
error_flag = true;
end
end
for i = 1:M_.exo_det_nbr
if ~series.exist(M_.exo_det_names{i})
dprintf('%s_FILE: exo_det variable %s is missing', caller, M_.exo_det_names{i})
error_flag = true;
end
end
if error_flag
error('%s_FILE: some variables are missing', caller)
end
if exist(sprintf('+%s/dynamic_set_auxiliary_series.m', M_.fname), 'file')
series = feval(sprintf('%s.dynamic_set_auxiliary_series', M_.fname), series, M_.params);
end
% selecting observations
if isfield(options, 'nobs')
nobs = options.nobs;
else
nobs = 0;
end
periods = series.dates;
nobs0 = series.nobs;
first_obs_ispresent = false;
last_obs_ispresent = false;
first_obs = periods(1);
if isfield(options, 'first_obs') && ~isempty(options.first_obs)
if options.first_obs < 1
error('%s_FILE: first_obs must be a positive number', caller)
elseif options.first_obs > nobs0
error('%s_FILE: first_obs = %d is larger than the number of observations in the data file (%d)', ...
caller, options.first_obs, nobs0)
elseif isfield(options, 'first_simulation_period')
if options.first_obs == options.first_simulation_period - M_.orig_maximum_lag
first_obs = periods(options.first_obs);
else
error('%s_FILE: first_obs = %d and first_simulation_period = %d have values inconsistent with a maximum lag of %d periods', ...
caller, options.first_obs, options.first_simulation_period, M_.orig_maximum_lag)
end
elseif isfield(options, 'firstsimulationperiod')
if periods(options.first_obs) == options.firstsimulationperiod - M_.orig_maximum_lag
first_obs = periods(options.first_obs);
else
error('%s_FILE: first_obs = %d and first_simulation_period = %s have values inconsistent with a maximum lag of %d periods', ...
caller, options.first_obs, options.firstsimulationperiod, M_.orig_maximum_lag)
end
else
first_obs = periods(options.first_obs);
end
first_obs_ispresent = true;
end
if isfield(options, 'firstobs') && ~isempty(options.firstobs)
if isfield(options, 'first_simulation_period')
if options.firstobs == periods(options.first_simulation_period) - M_.orig_maximum_lag
first_obs = options.firstobs;
else
error('%s_FILE: first_obs = %s and first_simulation_period = %d have values inconsistent with a maximum lag of %d periods', ...
caller, options.firstobs, options.first_simulation_period, M_.orig_maximum_lag)
end
elseif isfield(options, 'firstsimulationperiod')
if options.firstobs == options.firstsimulationperiod - M_.orig_maximum_lag
first_obs = options.firstobs;
else
error('%s_FILE: firstobs = %s and first_simulation_period = %s have values inconsistent with a maximum lag of %d periods', ...
caller, options.firstobs, options.firstsimulationperiod, M_.orig_maximum_lag)
end
else
first_obs = options.firstobs;
end
first_obs_ispresent = true;
end
if ~first_obs_ispresent
if isfield(options, 'first_simulation_period')
if options.first_simulation_period < M_.orig_maximum_lag
error('%s_FILE: first_simulation_period = %d must be larger than the maximum lag (%d)', ...
caller, options.first_simulation_period, M_.orig_maximum_lag)
elseif options.first_simulation_period > nobs0
error('%s_FILE: first_simulations_period = %d is larger than the number of observations in the data file (%d)', ...
caller, options.first_obs, nobs0)
else
first_obs = periods(options.first_simulation_period) - M_.orig_maximum_lag;
end
first_obs_ispresent = true;
elseif isfield(options, 'firstsimulationperiod')
first_obs = options.firstsimulationperiod - M_.orig_maximum_lag;
first_obs_ispresent = true;
end
end
if isfield(options, 'last_obs')
if options.last_obs > nobs0
error('%s_FILE: last_obs = %d is larger than the number of observations in the dataset (%d)', caller, options.last_obs, nobs0)
elseif first_obs_ispresent
if nobs > 0 && (periods(options.last_obs) ~= first_obs + nobs - 1)
error('%s_FILE: FIRST_OBS, LAST_OBS and NOBS contain inconsistent information. Use only two of these options.', caller)
else
last_obs = periods(options.last_obs);
end
else
last_obs = periods(options.last_obs);
if nobs > 0
first_obs = last_obs - nobs + 1;
else
first_obs = periods(1);
end
end
elseif isfield(options, 'lastobs')
if options.lastobs > series.last
error('%s_FILE: last_obs = %s is larger than the number of observations in the dataset (%s)', caller, options.lastobs, series.last)
elseif first_obs_ispresent
if nobs > 0 && (options.lastobs ~= first_obs + nobs - 1)
error('%s_FILE: FIRST_OBS, LAST_OBS and NOBS contain inconsistent information. Use only two of these options.', caller)
else
last_obs = options.lastobs;
end
else
last_obs = options.last_obs;
if nobs > 0
first_obs = last_obs - nobs + 1;
else
first_obs = periods(1);
end
end
elseif nobs > 0
last_obs = first_obs + nobs - 1;
else
last_obs = series.last;
end
if isfield(options, 'last_simulation_period')
lastsimulationperiod = periods(options.last_simulation_period);
end
if isfield(options, 'lastsimulationperiod')
lastsimulationperiod = options.lastsimulationperiod;
end
if exist('lastsimulationperiod', 'var')
if lastsimulationperiod<=last_obs-M_.orig_maximum_lead
last_obs = lastsimulationperiod+M_.orig_maximum_lead;
else
error('%s_FILE: LAST_SIMULATION_PERIOD is too large compared to the available data.', caller)
end
end
if exist('lastsimulationperiod', 'var') && exist('firstsimulationperiod', 'var')
p = lastsimulationperiod-firstsimulationperiod+1;
elseif exist('lastsimulationperiod', 'var')
p = lastsimulationperiod-(first_obs+M_.orig_maximum_lag)+1;
elseif exist('firstsimulationperiod', 'var')
p = (last_obs-M_.orig_maximum_lead)-firstsimulationperiod+1;
else
p = (last_obs-M_.orig_maximum_lead)-(first_obs+M_.orig_maximum_lag)+1;
end
series = series(first_obs:last_obs);
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