ACF and PACF Analysis with Interactive Features

acfinter computes and visualizes the ACF and PACF of a given time series, performs stationarity tests, and optionally generates interactive tables and plots.

Usage

acfinter(
  datag,
  lag = 72,
  ci.method = "white",
  ci = 0.95,
  interactive = NULL,
  delta = "levels",
  download = FALSE
)

Arguments

datag: A numeric vector or a time series object.
lag: Maximum number of lags for the ACF and PACF. Default is 72.
ci.method: Method for confidence intervals: "white" (default) or "ma".
ci: Confidence level for confidence intervals. Default is 0.95.
interactive: Character string specifying whether to create an interactive table: "acftable" for the ACF-PACF table, "stattable" for the stationarity tests table. Default is NULL.
delta: Transformation of the data: "levels" (default), "diff1", "diff2", or "diff3".
download: Logical indicating whether to save the results as files. Default is FALSE.

Value

A list with two elements: "ACF-PACF Test" and "Stationary Test". The function also creates interactive plots and tables if specified.

Examples

data <- actfts::GDPEEUU
result <- actfts::acfinter(data, lag = 20, ci.method = "white", interactive = "acftable")
print(result)
#> NULL