Lag Penalized Weighted Correlation for Time Series Clustering R package LPWC version 1.0.1 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>. Software Depends: R (>= 3.0.2) Imports: nleqslv Suggests: testthat, rmarkdown, pkgdown, ggplot2, knitr, devtools Thevaa Chandereng <thevaasiinen@gmail.com> Comprehensive R Archive Network (CRAN) Thevaa Chandereng [aut, cre, cph] (ORCID: <https://orcid.org/0000-0003-4078-9176>), Anthony Gitter [aut, cph] (ORCID: <https://orcid.org/0000-0002-5324-9833>) MIT + file LICENSE (https://CRAN.R-project.org/package=LPWC/LICENSE) 2026-07-05 application/tgz https://CRAN.R-project.org/package=LPWC doi:10.32614/CRAN.package.LPWC