Description Usage Arguments Details Value Author(s) References Examples

View source: R/complexity_measures.R

Computation of the permutation entropy of a time series based on its ordinal pattern distribution (see Bandt and Pompe 2002). Permutation entropy is a global information measure, hence insensitive to the permutation ordering scheme.

1 | ```
permutation_entropy(opd)
``` |

`opd` |
A numeric vector that details an ordinal pattern distribution. |

This function calculates the permutation entropy as described in Bandt and Pompe 2002.

The normalized permutation entropy as a numeric value in the range [0,1].

Sebastian Sippel

Bandt, C. and Pompe, B., 2002. Permutation entropy: a natural complexity measure for time series. Physical review letters, 88(17), p.174102.

1 2 3 | ```
x = arima.sim(model=list(ar = 0.3), n = 10^4)
opd = ordinal_pattern_distribution(x = x, ndemb = 6)
permutation_entropy(opd)
``` |

```
[1] 0.9814997
```

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