Description Usage Arguments Value Author(s)

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

1 | ```
acf_features(x)
``` |

`x` |
a univariate time series |

A vector of 6 values: first autocorrelation coefficient and sum of squared of first ten autocorrelation coefficients of original series, first-differenced series, and twice-differenced series. For seasonal data, the autocorrelation coefficient at the first seasonal lag is also returned.

Thiyanga Talagala

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