From 880bb58aefa6f879005037f18a8766a27023c1dd Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?St=C3=A9phane=20Adjemian=20=28Charybdis=29?=
 <stephane.adjemian@univ-lemans.fr>
Date: Tue, 17 Jun 2014 10:19:07 +0200
Subject: [PATCH] Fixed mode_check and prior_posterior_statistics routines
 (added dataset_info as an input).

---
 matlab/mode_check.m                 |  6 +++---
 matlab/prior_posterior_statistics.m | 10 +++++-----
 2 files changed, 8 insertions(+), 8 deletions(-)

diff --git a/matlab/mode_check.m b/matlab/mode_check.m
index 786acb7da..2fa6f4a9d 100644
--- a/matlab/mode_check.m
+++ b/matlab/mode_check.m
@@ -1,4 +1,4 @@
-function mode_check(fun,x,hessian,DynareDataset,DynareOptions,Model,EstimatedParameters,BayesInfo,DynareResults)
+function mode_check(fun,x,hessian,DynareDataset,DatasetInfo,DynareOptions,Model,EstimatedParameters,BayesInfo,DynareResults)
 % Checks the estimated ML mode or Posterior mode.
 
 %@info:
@@ -62,7 +62,7 @@ if ~isempty(hessian);
     [ s_min, k ] = min(diag(hessian));
 end
 
-fval = feval(fun,x,DynareDataset,DynareOptions,Model,EstimatedParameters,BayesInfo,DynareResults);
+fval = feval(fun,x,DynareDataset,DatasetInfo,DynareOptions,Model,EstimatedParameters,BayesInfo,DynareResults);
 
 if ~isempty(hessian);
     skipline()
@@ -138,7 +138,7 @@ for plt = 1:nbplt,
         end
         for i=1:length(z)
             xx(kk) = z(i);
-            [fval, junk1, junk2, exit_flag] = feval(fun,xx,DynareDataset,DynareOptions,Model,EstimatedParameters,BayesInfo,DynareResults);
+            [fval, junk1, junk2, exit_flag] = feval(fun,xx,DynareDataset,DatasetInfo,DynareOptions,Model,EstimatedParameters,BayesInfo,DynareResults);
             if exit_flag
                 y(i,1) = fval;
             else
diff --git a/matlab/prior_posterior_statistics.m b/matlab/prior_posterior_statistics.m
index 7fc877878..723d7056f 100644
--- a/matlab/prior_posterior_statistics.m
+++ b/matlab/prior_posterior_statistics.m
@@ -1,4 +1,4 @@
-function prior_posterior_statistics(type,dataset)
+function prior_posterior_statistics(type,dataset,dataset_info)
 
 % function prior_posterior_statistics(type,dataset)
 % Computes Monte Carlo filter smoother and forecasts
@@ -41,10 +41,10 @@ global options_ estim_params_ oo_ M_ bayestopt_
 localVars=[];
 
 Y = dataset.data;
-gend = dataset.info.ntobs;
-data_index = dataset.missing.aindex;
-missing_value = dataset.missing.state;
-bayestopt_.mean_varobs = dataset.descriptive.mean';
+gend = dataset.nobs;
+data_index = dataset_info.missing.aindex;
+missing_value = dataset_info.missing.state;
+bayestopt_.mean_varobs = dataset_info.descriptive.mean';
 
 nvx  = estim_params_.nvx;
 nvn  = estim_params_.nvn;