74 lines
2.8 KiB
Matlab
74 lines
2.8 KiB
Matlab
function dataset_ = compute_acov(dataset_)
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% Computes the (multivariate) auto-covariance function of the sample (possibly with missing observations).
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%@info:
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%! @deftypefn {Function File} {@var{dataset_} =} compute_corr(@var{dataset_},@var{nlag})
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%! @anchor{compute_acov}
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%! This function computes the (multivariate) auto-covariance function of the sample (possibly with missing observations).
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%!
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%! @strong{Inputs}
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%! @table @var
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%! @item dataset_
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%! Dynare structure describing the dataset, built by @ref{initialize_dataset}
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%! @item nlag
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%! Integer scalar. The maximum number of lags of the autocovariance function.
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%! @end table
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%!
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%! @strong{Outputs}
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%! @table @var
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%! @item dataset_
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%! Dynare structure describing the dataset, built by @ref{initialize_dataset}
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%! @end table
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%!
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%! @strong{This function is called by:}
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%! @ref{descriptive_statistics}.
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%!
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%! @strong{This function calls:}
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%! @ref{ndim}, @ref{compute_cova}, @ref{demean}, @ref{nandemean}.
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%!
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%! @strong{Remark 1.} On exit, a new field is appended to the structure: @code{dataset_.descriptive.acov} is a
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%! @tex{n\times n\times p} array (where @tex{n} is the number of observed variables as defined by @code{dataset_.info.nvobs},
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%! and @tex{n} is the maximum number of lags given by the second input @code{nlag}).
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%!
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%! @strong{Remark 2.} If @code{dataset_.descriptive.cova} does not exist, the covariance matrix is computed prior to the
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%! computation of the auto-covariance function.
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%!
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%! @end deftypefn
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%@eod:
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% Copyright (C) 2011 Dynare Team
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% stephane DOT adjemian AT univ DASH lemans DOT fr
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%
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% This file is part of Dynare.
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%
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% Dynare is free software: you can redistribute it and/or modify
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% it under the terms of the GNU General Public License as published by
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% the Free Software Foundation, either version 3 of the License, or
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% (at your option) any later version.
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%
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% Dynare is distributed in the hope that it will be useful,
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% but WITHOUT ANY WARRANTY; without even the implied warranty of
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% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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% GNU General Public License for more details.
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%
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% You should have received a copy of the GNU General Public License
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% along with Dynare. If not, see <http://www.gnu.org/licenses/>.
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if ~isfield(dataset_.descriptive,'cova')
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dataset_ = compute_cova(dataset_);
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end
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dataset_.descriptive.acov = zeros(dataset_.nvobs,dataset_.nvobs,nlag);
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data = transpose(dataset_.data);
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for lag=1:nlag
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for i=1:dataset_.info.nvobs
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for j=1:dataset_.info.nvobs
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if dataset_.missing.state
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dataset_.descriptive.acov(i,j,lag) = nanmean(nandemean(data(lag+1:end,i)).*nandemean(data(1:end-lag,j)));
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else
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dataset_.descriptive.acov(i,j,lag) = mean(demean(data(lag+1:end,i)).*demean(data(1:end-lag,j)));
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end
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end
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end
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end |