1) use new mcf_analysis.m;
2) use generic filtering when threshold does not work;
3) make log-tranformed mapping meaningful and comparable to baseline;
3) harmonize names of files saved and reduced number of directories created;
* Second and third positional arguments after the name of the
estimated parameter in the estimated_params block are only
considered in the optimization stage (not in the MCMC)
* Do not store bounds in bayestopt_, because bounds do not always
reflect restrictions implied by prior shapes.
* prior_bounds routine returns a structure (with fields lb and ub)
instead of a matrix.
Replace them by equivalents in M_ (and an extra one: M_.dynamic).
IMPORTANT POINT: oo_.dr.npred used to count both purely backward and mixed/both
variables. This was the cause of lots of confusion. The new M_.npred only
counts purely backward variables.
We now have the following indentities:
M_.npred + M_.nboth + M_.nfwrd + M_.nstatic = M_.endo_nbr
M_.nspred = M_.npred + M_.nboth
M_.nsfwrd = M_.nfwrd + M_.nboth
M_.ndynamic = M_.npred + M_.nboth + M_.nfwrd
1) options_gsa passed as function argument
2) use pvalues always to trigger Smirnov plots and correlation plots;
3) eliminated density plots in rmse analysis;
4) updated tex documentation
Stéphane Adjemian
Johannes Pfeifer
Marco Ratto
Sébastien Villemot
Sébastien Villemot
Michel Juillard