Computes various measures that can indicate the presence and structures of intermittent data.

feat_intermittent(x)

## Arguments

x A vector to extract features from.

## Value

A vector of named features:

• zero_run_mean: The average interval between non-zero observations

• nonzero_squared_cv: The squared coefficient of variation of non-zero observations

• zero_start_prop: The proportion of data which starts with zero

• zero_end_prop: The proportion of data which ends with zero

## References

Kostenko, A. V., & Hyndman, R. J. (2006). A note on the categorization of demand patterns. Journal of the Operational Research Society, 57(10), 1256-1257.