v4 bvar_*: minor changes in comments
git-svn-id: https://www.dynare.org/svn/dynare/dynare_v4@1372 ac1d8469-bf42-47a9-8791-bf33cf982152time-shift
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@ -18,7 +18,7 @@ function bvar_density(maxnlags)
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function w = matrictint(S, df, XXi)
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% Computes the integral of the kernel of the PDF of a
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% Computes the log of the integral of the kernel of the PDF of a
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% normal-inverse-Wishart distribution.
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%
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% S: parameter of inverse-Wishart distribution
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@ -20,9 +20,9 @@ function [ny, nx, posterior, prior, forecast_data] = bvar_toolbox(nlags)
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% Its fields are the same than for the posterior
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% forecast: a structure containing data useful for forecasting
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% Its fields are:
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% - initval: a nlags*ny vector containing the "nlags" last
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% - initval: a nlags*ny matrix containing the "nlags" last
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% observations of the sample (i.e. before options_.nobs)
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% - xdata: a vector containing the future exogenous for
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% - xdata: a matrix containing the future exogenous for
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% forecasting, of size options_.forecast*nx (actually only
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% contains "1" values for the constant term)
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% - realized_val: only non-empty if options_.nobs doesn't point
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