gitter-lab/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>.
Getting started
Browse package contents
Package details |
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| Maintainer | |
| License | MIT + file LICENSE |
| Version | 1.0.0 |
| URL | https://github.com/gitter-lab/LPWC |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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