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model_inversion: Header cosmetics

bgp-dev
Johannes Pfeifer 2022-09-15 10:16:05 +02:00
parent 3d96e3907a
commit 73ca68e052
3 changed files with 11 additions and 8 deletions
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4
matlab/backward/simul_backward_model.m
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@ -1,5 +1,5 @@
function simulation = simul_backward_model(initialconditions, samplesize, innovations)
% function simulation = simul_backward_model(initialconditions, samplesize, innovations)
% Simulates a stochastic backward looking model (with arbitrary precision).
%
% INPUTS
@ -16,7 +16,7 @@ function simulation = simul_backward_model(initialconditions, samplesize, innova
% [2] The last input argument is not mandatory. If absent we use random draws and rescale them with the informations provided
% through the shocks block.
% [3] If the first input argument is empty, the endogenous variables are initialized with 0, or if available with the informations
% provided thrtough the histval block.
% provided through the histval block.
% Copyright © 2012-2022 Dynare Team
%

4
matlab/backward/simul_backward_nonlinear_model.m
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@ -1,5 +1,5 @@
function simulations = simul_backward_nonlinear_model(initialconditions, samplesize, DynareOptions, DynareModel, DynareOutput, innovations)
% function simulations = simul_backward_nonlinear_model(initialconditions, samplesize, DynareOptions, DynareModel, DynareOutput, innovations)
% Simulates a stochastic non linear backward looking model with arbitrary precision (a deterministic solver is used).
%
% INPUTS
@ -11,7 +11,7 @@ function simulations = simul_backward_nonlinear_model(initialconditions, samples
% - innovations [double] T*q matrix, innovations to be used for the simulation.
%
% OUTPUTS
% - DynareOutput [struct] Dynare's oo_ global structure.
% - simulation [dseries] Simulated endogenous and exogenous variables.
%
% REMARKS
% [1] The innovations used for the simulation are saved in DynareOutput.exo_simul, and the resulting paths for the endogenous

11
matlab/model_inversion.m
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@ -1,21 +1,24 @@
function [endogenousvariables, exogenousvariables] = model_inversion(constraints, ...
exogenousvariables, ...
initialconditions, DynareModel, DynareOptions, DynareOutput)
% function [endogenousvariables, exogenousvariables] = model_inversion(constraints, ...
% exogenousvariables, ...
% initialconditions, DynareModel, DynareOptions, DynareOutput)
% INPUTS
% - constraints [dseries] with N constrained endogenous variables from t1 to t2.
% - exogenousvariables [dseries] with Q exogenous variables.
% - initialconditions [dseries] with M endogenous variables starting before t1 (M initialcond must contain at least the state variables).
% - DynareModel [struct] M_, Dynare global structure containing informations related to the model.
% - DynareOptions [struct] options_, Dynare global structure containing all the options.
% - DynareOutput [struct] oo_, Dynare global structure containing all the options.
%
% OUTPUTS
% - endogenous [dseries]
% - exogenous [dseries]
% - endogenousvariables [dseries]
% - exogenousvariables [dseries]
%
% REMARKS
% Copyright © 2018-2019 Dynare Team
% Copyright © 2018-2021 Dynare Team
%
% This file is part of Dynare.
%