feat_intermittent: Intermittency features
In feasts: Feature Extraction and Statistics for Time Series
feat_intermittent R Documentation
Intermittency features
Description
Computes various measures that can indicate the presence and structures of
intermittent data.
Usage
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.
feasts documentation built on Sept. 30, 2024, 9:14 a.m.
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| feat_intermittent | R Documentation |
Intermittency features
Description
Computes various measures that can indicate the presence and structures of intermittent data.
Usage
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.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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