Cosmetic changes.
parent
7e7f57d7d1
commit
031456655c
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@ -121,13 +121,16 @@ if ~isempty(st) && strcmp(st(1).name, 'surgibbs')
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end
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% constrained_param_idxs: indexes in X.name of parameters that were constrained
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constrained_param_idxs = [];
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constrained_param_idxs = NaN(length(constrained), 1);
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j = 0;
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for i = 1:length(constrained)
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idx = find(strcmp(X.name, constrained{i}));
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if ~isempty(idx)
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constrained_param_idxs(end+1, 1) = idx;
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j = j+1;
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constrained_param_idxs(j, 1) = idx;
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end
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end
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constrained_param_idxs = constrained_param_idxs(1:j);
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%% Estimation
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oo_.sur.(model_name).dof = nobs;
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@ -88,9 +88,9 @@ end
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% Using a Combination of Direct Monte Carlo and Importance Sampling
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% Techniques. Bayesian Analysis. 2010. pp 67-70.
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if nargin == 8
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[nobs, X, Y, m, lhssub, fp, ~] = sur(ds, param_names, eqtags);
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[nobs, X, Y, m, lhssub, fp] = sur(ds, param_names, eqtags);
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else
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[nobs, X, Y, m, lhssub, fp, ~] = sur(ds, param_names);
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[nobs, X, Y, m, lhssub, fp] = sur(ds, param_names);
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end
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oo_.surgibbs.(model_name).dof = nobs;
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@ -176,7 +176,7 @@ write_param_init_inc_file('surgibbs', model_name, oo_.surgibbs.(model_name).para
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%% Print Output
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if ~options_.noprint
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ttitle = ['Gibbs Sampling on SUR'];
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ttitle = 'Gibbs Sampling on SUR';
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preamble = {['Model name: ' model_name], ...
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sprintf('No. Equations: %d', oo_.surgibbs.(model_name).neqs), ...
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sprintf('No. Independent Variables: %d', size(X, 2)), ...
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