pccf {tfarima} | R Documentation |
Prewhitened cross correlation function
Description
pccf
displays cross correlation function between input and output
after prewhitening both through a univariate model.
Usage
pccf(
x,
y,
um.x = NULL,
um.y = NULL,
lag.max = NULL,
plot = TRUE,
envir = NULL,
main = NULL,
nu.weights = FALSE,
...
)
Arguments
x |
input, a 'ts' object or a numeric vector. |
y |
output, a 'ts' object or a numeric vector. |
um.x |
univariate model for input. |
um.y |
univariate model for output. |
lag.max |
number of lags, integer. |
plot |
logical value to indicate if the ccf graph must be graphed or computed. |
envir |
environment in which the function arguments are evaluated. If NULL the calling environment of this function will be used. |
main |
title of the graph. |
nu.weights |
logical. If TRUE the coefficients of the IRF are computed instead of the cross-correlations. |
... |
additional arguments. |
Value
The estimated cross correlations are displayed in a graph or returned into a numeric vector.
[Package tfarima version 0.3.2 Index]