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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.1 |
rolling linux/jammy R-4.5 | LPWC_1.0.1.tar.gz |
144.1 KiB |
1.0.1 |
rolling linux/noble R-4.5 | LPWC_1.0.1.tar.gz |
144.1 KiB |
1.0.1 |
rolling source/ R- | LPWC_1.0.1.tar.gz |
119.9 KiB |
1.0.1 |
latest linux/jammy R-4.5 | LPWC_1.0.1.tar.gz |
144.1 KiB |
1.0.1 |
latest linux/noble R-4.5 | LPWC_1.0.1.tar.gz |
144.1 KiB |
1.0.1 |
latest source/ R- | LPWC_1.0.1.tar.gz |
119.9 KiB |
1.0.1 |
2026-04-23 source/ R- | LPWC_1.0.1.tar.gz |
0 B |
1.0.0 |
2025-04-20 source/ R- | LPWC_1.0.0.tar.gz |
117.1 KiB |