Computes various measures based on partial autocorrelation coefficients of the original series, first-differenced series and second-differenced series

pacf_features(x)

## Arguments

x a univariate time series

## Value

A vector of 3 values: Sum of squared of first 5 partial autocorrelation coefficients of the original series, first differenced series and twice-differenced series. For seasonal data, the partial autocorrelation coefficient at the first seasonal lag is also returned.

## Author

Thiyanga Talagala