In addition to the already implemented selection mechanism using matlab's regular expressions,
we allow the following syntax:
a = ts{'GDP_@US,JP,FR@'};
to extract variables GDP_US, GDP_JP and GDP_FR from dynSeries object ts. If one of these variables
does not exist, an error message is issued.
2) better cleanup of remnants of remote parallel runs when Strategy ==1
3) for windows sessions eliminate the use of start, replaced by psexec -d instanced, to allow cleanup of .bat file
4) fix bug in Strategy==1 that was not properly cleaned by deleting new files on exit
1. The first call to set_prior overwrote the first column of
estim_params_.var_endo storing the position of the variable with
measurement error in M_.endo_names with the position in
options_.var_obs. All subsequent calls to set_prior then lead to
crashes.
2. At the same time, for correlations of ME, the first column of
estim_params_.corrn still stored the position of the variable with
measurement error in M_.endo_names. But subsequent calls to it were done
as if it stored the position in options_.var_obs
I introduced two new variables in estim_params_ storing the respective
positions in var_obs so as to not necessitate changes in the
preprocessors.
3. For cases of calibrated measurement error correlations, the
covariance matrix was not updated.
4. Fixing a lot of smaller bugs related to measurement errors, including
some copy and paste errors
-
Due to only using the diagonal of Sigma_e and the correlation matrix having ones on the diagonal, the diagonal entries of the covariance matrix are correctly built from recent draw. Later, when using the new draw for the correlations, only the correctly updated diagonal entries of Sigma_e are used.
Names for the results of basic operations on dynSeries objects was '--NA--'. The name of the result
variables now keep track of the operations. For instance, if we have two dynSeries objects, ts1 and
ts2, respectively holding two variables 'A1' and 'B1', then:
- the name of the variable in ts3=ts1+ts2 is 'plus(A1,B1)'
- the name of the variable in ts3=ts1-ts2 is 'minus(A1,B1)'
- the name of the variable in ts3=ts1*ts2 is 'multiply(A1,B1)'
- the name of the variable in ts3=ts1/ts2 is 'divide(A1,B1)'
- the tex name of the variable in ts3=ts1+ts2 is '(A1+B1)'
- the tex name of the variable in ts3=ts1-ts2 is '(A1-B1)'
- the tex name of the variable in ts3=ts1*ts2 is '(A1*B1)'
- the tex name of the variable in ts3=ts1/ts2 is '(A1/B1)'
Compare two one dimensional cells of strings and count the number of common strings. The
optional second argument returns a formated list of common variables.
*Example*
If we have:
A = {'A1'; 'A2'; 'A3'; 'A4'; 'A5'; 'A6'};
B = {'B1'; 'A2'; 'B3'; 'A4'; 'A1'};
then
[n,message] = common_strings_in_cell_arrays(A,B);
returns n=3 and message='A2, A4 and A1'.
Stéphane Adjemian (Charybdis)
Marco Ratto
Johannes Pfeifer
Sébastien Villemot
Ferhat Mihoubi