Fixed documentation header.

matlab/imcforecast.m

 function imcforecast(constrained_paths, constrained_vars, options_cond_fcst)
+
 % Computes conditional forecasts.
 %
 % INPUTS
-%  o constrained_paths    [double]      m*p array, where m is the number of constrained endogenous variables and p is the number of constrained periods.
-%  o constrained_vars     [char]        m*x array holding the names of the controlled endogenous variables.
-%  o options_cond_fcst    [structure]   containing the options. The fields are:
+% - consnstrained_paths  [double]      m*p array, where m is the number of constrained endogenous variables and p is the number of constrained periods.
+% - constrained_vars     [integer]     m*1 array, indices in M_.endo_names of the constrained variables.
+% - options_cond_fcst    [structure]   containing the options. The fields are:
+%
 %                                      + replic              [integer]   scalar, number of monte carlo simulations.
 %                                      + parameter_set       [char]      values of the estimated parameters:
-%                                                                                               "posterior_mode",
-%                                                                                               "posterior_mean",
-%                                                                                               "posterior_median",
-%                                                                                               "prior_mode" or
-%                                                                                               "prior mean".
+%                                                                                               'posterior_mode',
+%                                                                                               'posterior_mean',
+%                                                                                               'posterior_median',
+%                                                                                               'prior_mode' or
+%                                                                                               'prior mean'.
 %                                                            [double]     np*1 array, values of the estimated parameters.
-%                                                             + controlled_varexo   [char]       m*x array, list of controlled exogenous variables.
+%                                      + controlled_varexo   [cell]       m*1 cell of row char array, list of controlled exogenous variables.
 %                                      + conf_sig            [double]     scalar in [0,1], probability mass covered by the confidence bands.
 %
 % OUTPUTS