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 (2018) <doi:10.1101/292615>.

Package details

AuthorThevaa Chandereng [aut, cre, cph] (<https://orcid.org/0000-0003-4078-9176>), Anthony Gitter [aut, cph] (<https://orcid.org/0000-0002-5324-9833>)
MaintainerThevaa Chandereng <[email protected]>
LicenseMIT + file LICENSE
Version0.99.5
URL https://github.com/gitter-lab/LPWC
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("LPWC")

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LPWC documentation built on May 2, 2019, 4:35 a.m.