Description Usage Arguments Details Value Note Author(s) See Also Examples
Generates plots of forecast error variance decompositions (FEVDs) with error bands from VAR posterior draws
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fevddraws | 
 A draws x steps x nvar array of posterior variance decompositions.  | 
type | 
 A string, either "median" or "mean" response, specifying the type of response to be plotted. The default is "median".  | 
labels | 
 A list of variable labels for FEVD plots, The default are the variable names of the model.  | 
save | 
 A logical statement to save the graph in the current working directory. The default is 'FALSE'.  | 
bands | 
 A list of length 2 containing the error bands of the decompositions. If bands='NULL', only FEVDs are plotted. The default is c(0.16, 0.84).  | 
grid | 
 A logical statement on whether or not to generate grid lines in the plots. The default is 'TRUE'.  | 
bw | 
 A logical statement on whether or not to generate black and white or colour graphs. The default is 'FALSE'.  | 
table | 
 A logical statement on whether or not a table should be returned instead of a graph. The default is 'FALSE'.  | 
periods | 
 A list of length smaller or equal the number of response steps. If periods='NULL', all periods are shown in the table. The default is 'NULL'.  | 
This function generates plots of forecast error variance decompositions (FEVDs) with error bands from VAR posterior draws produced by a Bayesian VAR model.
The function returns a plot or table of the FEVDs with user-selected percentiles.
Users should consult the reference papers and the package vignette for more information.
Christian Danne
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24  | ## Not run: 
# Replication of Figure 5 of Uhlig (2005)
set.seed(12345)
data(uhligdata)
# variable labels for plots
vl <- c("GDP","GDP Deflator","Comm.Pr.Index","Fed Funds Rate",
        "NB Reserves", "Total Reserves")
# estimates the model
model0 <- rfbvar(Y=uhligdata, nlags=12, draws=1000, constant=FALSE,
                  steps=60, shock=4)
# get posterior draws
fevd0 <- model0$FEVDS
# plot impulse response functions
fevdplot(fevddraws=fevd0, type="median", labels=vl, save=FALSE, bands=c(0.16, 0.84),
        grid=TRUE, bw=FALSE)
## End(Not run)
 
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