Added the possibilty to set the initial condition of the (stochastic) extended path simulations with the histval block.

Johannes Pfeifer authored 11 years ago and Stéphane Adjemian committed 11 years ago

- Improves documentation of resulting matrices
- Adds unit test for filter_step_ahead option

Fixed bugs and continue GSA plots harmonization

Do not systematically throw an errror message if the parameters in the provided mode_file does not exactly match the set of estimated parameters.

If some parameters are missing in the provided mode_file and if mode_compute>0, use the prior mean as an initial condition.

Bug fix. Force axis tight in @dseries/plot method (otherwise the method crashes if Matlab/octave considers a too large x-abscissa).

Copy the generated time series in a dseries object (called Simulated_time_series) in the Base workspace (extended_path).

Bug fixes, reduced the number of graphs and improved info on graphical output for screening identification and MC theoretical moments in GSA.

2) Harmonize bivariate plots in the proper way
3) Harmonize bivariate plots for rmse analysis

2) trap cases where only very few parameter combinations provide unique saddle path solution

Irf restrictions and identification

Fixed bad representation of identification patterns for moment information matrix (and also fixed figure title)

1) Define a new type of parameter Random_prior_params, when prior/posterior mean mode do not work and the code searches randomly in the prior space a parameter combination that provides unique saddle path solution;
2) save point estimates in separate file, in order not lose work when subsequent analyses are done for prior/posterior mean/mode etc.

write_latex_definitions: remove lines that prevented this code from being included in a larger latex doc

Closes #549

Fixes to mode_compute=5. (1) force univariate steps at every iteration: ...