doc: fix typo and formatting

parent 8fbb7730
......@@ -167,24 +167,26 @@ Dynare misc commands
A ``1*Nblck`` array of doubles. Current acceptance ratios.
.. matcomm:: prior [options[, ...]];
.. matcomm:: prior [OPTIONS[, ...]];
Prints various informations about the prior distribution depending
on the options. If no options are provided, the command returns
the list of available options. Following options are available:
Prints information about the prior distribution given the provided
options. If no options are provided, the command returns the list of
available options.
``table``
*Options*
.. option:: table
Prints a table describing the marginal prior distributions
(mean, mode, std., lower and upper bounds, HPD interval).
``moments``
.. option:: moments
Computes and displays first and second order moments of the
endogenous variables at the prior mode (considering the
linearized version of the model).
``moments(distribution)``
.. option:: moments(distribution)
Computes and displays the prior mean and prior standard
deviation of the first and second moments of the endogenous
......@@ -193,7 +195,7 @@ Dynare misc commands
stored in the ``prior`` subfolder in a
``_endogenous_variables_prior_draws.mat`` file.
``optimize``
.. option:: optimize
Optimizes the prior density (starting from a random initial
guess). The parameters such that the steady state does not
......@@ -203,7 +205,7 @@ Dynare misc commands
defined over such regions, the optimization algorithm may fail
to converge to the true solution (the prior mode).
``simulate``
.. option:: simulate
Computes the effective prior mass using a Monte-Carlo. Ideally
the effective prior mass should be equal to 1, otherwise
......@@ -215,6 +217,6 @@ Dynare misc commands
:math:`p_A\neq p_B \leq 1` so that the prior mass of the
compared models are identical.
``plot``
.. option:: plot
Plots the marginal prior density.
......@@ -7974,7 +7974,7 @@ The forecast scenario can contain some simple shocks on the exogenous
variables. This shocks are described using the function
``basic_plan``:
.. matcomm:: HANDLE = basic_plan (HANDLE, 'VAR_NAME', 'SHOCK_TYPE', DATES, MATLAB VECTOR OF DOUBLE | [DOUBLE | EXPR [DOUBLE | | EXPR] ] );
.. matcomm:: HANDLE = basic_plan (HANDLE, `VAR_NAME', `SHOCK_TYPE', DATES, MATLAB VECTOR OF DOUBLE | [DOUBLE | EXPR [DOUBLE | EXPR] ] );
Adds to the forecast scenario a shock on the exogenous variable
indicated between quotes in the second argument. The shock type
......@@ -7992,7 +7992,7 @@ compatible with the constrained path are in this case computed. In
other words, a conditional forecast is performed. This kind of shock
is described with the function ``flip_plan``:
.. matcomm:: HANDLE = flip_plan (HANDLE, 'VAR_NAME, 'VAR_NAME', 'SHOCK_TYPE', DATES, MATLAB VECTOR OF DOUBLE | [DOUBLE | EXPR [DOUBLE | | EXPR] ] );
.. matcomm:: HANDLE = flip_plan (HANDLE, `VAR_NAME', `VAR_NAME', `SHOCK_TYPE', DATES, MATLAB VECTOR OF DOUBLE | [DOUBLE | EXPR [DOUBLE | EXPR] ] );
Adds to the forecast scenario a constrained path on the endogenous
variable specified between quotes in the second argument. The
......@@ -8049,7 +8049,8 @@ computed with the command ``det_cond_forecast``:
plot(dset_forecast.{'r','e'});
.. command:: smoother2histval [(OPTIONS...)];
.. command:: smoother2histval ;
smoother2histval(OPTIONS...);
The purpose of this command is to construct initial conditions
(for a subsequent simulation) that are the smoothed values of a
......
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