### 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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