LPWC
Lag Penalized Weighted Correlation for Time Series Clustering
Computes a time series distance measure for clustering based on weighted correlation and introduction of lags. The lags capture delayed responses in a time series dataset. The timepoints must be specified. T. Chandereng, A. Gitter (2020) doi:10.1186/s12859-019-3324-1.
- Version1.0.0
- R version≥ 3.0.2
- LicenseMIT
- LicenseLICENSE
- Needs compilation?Yes
- LPWC citation info
- Last release01/23/2020
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Team
Thevaa Chandereng
Anthony Gitter
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- Imports1 package
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