compare_acf: Comparison of Classical and Robust Correlation Analysis Functions
Description
Compare classical and robust ACF
of univariate time series.
Usage
compare_acf(
x,
lag.max = NULL,
demean = TRUE,
show.ci = TRUE,
alpha = 0.05,
plot = TRUE,
...
)
Arguments
- x
A vector
or "ts"
object (of length \(N > 1\)).
- lag.max
A integer
indicating the maximum lag up to which to compute the ACF and PACF functions.
- demean
A bool
indicating whether the data should be detrended (TRUE
) or not (FALSE
). Defaults to TRUE
.
- show.ci
A bool
indicating whether to compute and show the confidence region. Defaults to TRUE
.
- alpha
A double
indicating the level of significance for the confidence interval. By default alpha = 0.05
which gives a 1 - alpha
= 0.95 confidence interval.
- plot
A bool
indicating whether a plot of the computed quantities should be produced. Defaults to TRUE
.
- ...
Additional parameters.
Examples
Run this code# Estimate both the ACF and PACF functions
compare_acf(datasets::AirPassengers)
Run the code above in your browser using DataLab