garma (version 0.9.6)

garma_ggtsdisplay: ggtsdisplay of underlying ARMA process.

Description

For a Gegenbauer process, use semi-parametric methods to obtain short memory version of the process, then run a ggtsdisplay().

Usage

garma_ggtsdisplay(x, k = 1, ...)

Arguments

x

(num) This should be a numeric vector representing the process to estimate.

k

(int) The number of Gegenbauer factors

...

additional parameters to pass to ggtsdisplay

Value

A ggplot object.

Details

The purpose of this function is to ease the process of identifying the underlying short memory process.

Examples

# NOT RUN {
data(AirPassengers)
ap <- as.numeric(diff(AirPassengers,12))
garma_ggtsdisplay(ap)
# }