Package: LPWC Version: 1.0.1 Title: Lag Penalized Weighted Correlation for Time Series Clustering Authors@R: c(person(given = "Thevaa", family = "Chandereng", role = c("aut", "cre", "cph"), email = "thevaasiinen@gmail.com", comment = c(ORCID = "0000-0003-4078-9176")), person(given = "Anthony", family = "Gitter", role = c("aut", "cph"), comment = c(ORCID = "0000-0002-5324-9833"))) Description: 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) . Depends: R (>= 3.0.2) Suggests: testthat, rmarkdown, pkgdown, ggplot2, knitr, devtools License: MIT + file LICENSE Encoding: UTF-8 LazyData: true RoxygenNote: 6.1.1 VignetteBuilder: knitr URL: https://github.com/gitter-lab/LPWC BugReports: https://github.com/gitter-lab/LPWC/issues Imports: nleqslv NeedsCompilation: yes Packaged: 2026-07-05 13:23:07 UTC; root Author: Thevaa Chandereng [aut, cre, cph] (ORCID: ), Anthony Gitter [aut, cph] (ORCID: ) Maintainer: Thevaa Chandereng Repository: https://cran.r-universe.dev Date/Publication: 2026-07-05 12:44:37 UTC RemoteUrl: https://github.com/cran/LPWC RemoteRef: HEAD RemoteSha: 5fb76794248740c6756507ba22da03ded868d80e