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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>.
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Package details |
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| Author | Thevaa Chandereng [aut, cre, cph] (<https://orcid.org/0000-0003-4078-9176>), Anthony Gitter [aut, cph] (<https://orcid.org/0000-0002-5324-9833>) |
| Maintainer | Thevaa Chandereng <chandereng@wisc.edu> |
| License | MIT + file LICENSE |
| Version | 1.0.0 |
| URL | https://github.com/gitter-lab/LPWC |
| Package repository | View on CRAN |
| Installation |
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