| summary.FCVAR_roots {FCVAR} | R Documentation |
Print Summary of Roots of the Characteristic Polynomial
Description
summary.FCVAR_roots prints the output of
GetCharPolyRoots to screen.
GetCharPolyRoots calculates the roots of the
characteristic polynomial to plot them with the unit circle
transformed for the fractional model, see Johansen (2008).
Usage
## S3 method for class 'FCVAR_roots'
summary(object, ...)
Arguments
object |
An S3 object of type
|
... |
additional arguments affecting the summary produced. |
Note
The roots are calculated from the companion form of the VAR, where the roots are given as the inverse eigenvalues of the coefficient matrix.
References
Johansen, S. (2008). "A representation theory for a class of vector autoregressive models for fractional processes," Econometric Theory 24, 651-676.
See Also
FCVARoptions to set default estimation options.
FCVARestn to estimate the model for which to calculate the roots
of the characteristic polynomial.
summary.FCVAR_roots prints the output of
GetCharPolyRoots to screen.
Other FCVAR postestimation functions:
FCVARboot(),
FCVARhypoTest(),
GetCharPolyRoots(),
MVWNtest(),
plot.FCVAR_roots(),
summary.MVWN_stats()
Examples
opt <- FCVARoptions()
opt$gridSearch <- 0 # Disable grid search in optimization.
opt$dbMin <- c(0.01, 0.01) # Set lower bound for d,b.
opt$dbMax <- c(2.00, 2.00) # Set upper bound for d,b.
opt$constrained <- 0 # Impose restriction dbMax >= d >= b >= dbMin ? 1 <- yes, 0 <- no.
x <- votingJNP2014[, c("lib", "ir_can", "un_can")]
results <- FCVARestn(x, k = 2, r = 1, opt)
FCVAR_CharPoly <- GetCharPolyRoots(results$coeffs, opt, k = 2, r = 1, p = 3)
summary(object = FCVAR_CharPoly)
graphics::plot(x = FCVAR_CharPoly)