Trend + posterior filtered variables in a model with only one observed variable.

Was crashing in models with only one observed variable. The squeeze function
cannot be used in this case, only the first dimension  of
stock_filter_step_ahead should be squeezed.

Johannes Pfeifer authored 7 years ago and Stéphane Adjemian committed 7 years ago

Posterior moments: fix bug that prevented updating decision rules for parameter vector, leading to wrong results/crashes when computing second moments

When removing globals in 24cd4236 the call to set_parameters.m, which relies on M_ being global, was not removed. The problem arises

1. When computing second moments for big models with drsize*SampleSize>MaxMegaBytes (in which case decision rules dr were not saved, but recomputed)
2. When computing the conditional variance decomposition for all models regardless of size (dsge_simulated_theoretical_conditional_variance_decomposition.m relied on the wrong M_.Sigma_e in this case)

generate_trace_plots: Add measurement errors

simpsa: Only store output strcuture if requested

discretionary_policy_1.m: output which derivative is nonzero

Fix another typo in manual

Make osr error message more informative

Fix typos in manual

Thanks to Jean-Paul K. Tsasa

Fix bug in use_shock_groups

Option was not written to correct subfield of options_-structure. Related to 7cd56e96

Filter out a vector-sized nobs, which crashes dynare_sensitivity.m

mode_compute=6: Fix mistakes in manual

Which has moved in dynare_confign, see e71e89bb.

preprocessor: print JSON deriv detail by default; use option to print less-detailed versions of dynamic/static models

A "lag"" key with a negative value should be interpreted as a lead (and not a
lag). Possible solutions are (1) Change the sign of the value, (2) Add a new
key "lead" and consider only positive values, and (3) Change the key name for
"shift" with negative values for lags and positive values for leads.

The commit implements the third choice.