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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 |
DOI: | 10.32614/CRAN.package.LPWC |
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 (arm64): LPWC_1.0.0.tgz, r-oldrel (arm64): LPWC_1.0.0.tgz, r-release (x86_64): LPWC_1.0.0.tgz, r-oldrel (x86_64): LPWC_1.0.0.tgz |
Old sources: | LPWC archive |
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