[aut, cre, cph],
Anthony Gitter
[aut, cph]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>.
| Version: | 1.0.0 |
| Depends: | R (≥ 3.0.2) |
| Imports: | nleqslv |
| Suggests: | testthat, rmarkdown, pkgdown, ggplot2, knitr, devtools |
| Published: | 2020-01-23 |
| Author: | Thevaa Chandereng
[aut, cre, cph],
Anthony Gitter
[aut, cph] |
| Maintainer: | Thevaa Chandereng <chandereng at wisc.edu> |
| BugReports: | https://github.com/gitter-lab/LPWC/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/gitter-lab/LPWC |
| NeedsCompilation: | yes |
| Citation: | LPWC citation info |
| Materials: | README NEWS |
| CRAN checks: | LPWC results |
| Reference manual: | LPWC.pdf |
| Vignettes: |
Cluster time series data |
| Package source: | LPWC_1.0.0.tar.gz |
| Windows binaries: | r-devel: LPWC_1.0.0.zip, r-release: LPWC_1.0.0.zip, r-oldrel: LPWC_1.0.0.zip |
| macOS binaries: | r-release: LPWC_1.0.0.tgz, r-oldrel: LPWC_1.0.0.tgz |
| Old sources: | LPWC archive |
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