doc: fix changes merged in ad2e1ffc8d
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ad2e1ffc8d
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@ -1113,7 +1113,8 @@ mutually exclusive arguments are separated by vertical bars: @samp{|};
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@var{INTEGER} indicates an integer number;
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@item
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@var{INTEGER_VECTOR} indicates a vector of integer numbers [@var{INTEGER_1} ... @var{INTEGER_N}]
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@var{INTEGER_VECTOR} indicates a vector of integer numbers separated by spaces,
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enclosed by square brackets;
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@item
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@var{DOUBLE} indicates a double precision number. The following syntaxes
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@ -7268,7 +7269,7 @@ realtime shock decompositions are computed, @i{i.e.} for
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@anchor{forecast_shock_decomposition} Compute shock decompositions up to
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@math{T+k} periods, @i{i.e.} get shock contributions to k-step ahead forecasts.
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@item save_realtime = [@var{INTEGER_VECTOR}]
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@item save_realtime = @var{INTEGER_VECTOR}
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@anchor{save_realtime} Choose for which vintages to save the full realtime
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shock decomposition. Default: @math{0}.
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@end table
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@ -7380,12 +7381,10 @@ command again.
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@item detail_plot
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Plots shock contributions using subplots, one per shock (or group of
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shocks). Pass @math{1} to turn it on and @math{0} to turn it off. Default:
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not activated
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shocks). Default: not activated
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@item interactive
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Under MATLAB, add uimenus for detailed group plots. Pass @math{1} to turn it
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on and @math{0} to turn it off. Default: not activated
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Under MATLAB, add uimenus for detailed group plots. Default: not activated
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@item screen_shocks
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@anchor{screen_shcoks} For large models (@i{i.e.} for models with more than @math{16}
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@ -7394,9 +7393,9 @@ for chosen selected @code{variable_names}. Historical contribution is ranked
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by the mean absolute value of all historical contributions.
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@item steadystate
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@anchor{steadystate} If equal to @math{1}, the the @math{y}-axis value of the
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zero line in the shock decomposition plot is translated to the steady state
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level. Default: not activated
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@anchor{steadystate} If passed, the the @math{y}-axis value of the zero line in
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the shock decomposition plot is translated to the steady state level. Default:
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not activated
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@item type = @code{qoq} | @code{yoy} | @code{aoa}
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@anchor{type} For quarterly data, valid arguments are: @code{qoq} for
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