gitter-lab/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 (2020) <doi:10.1186/s12859-019-3324-1>.

Getting started

Package details

Maintainer
LicenseMIT + file LICENSE
Version1.0.0
URL https://github.com/gitter-lab/LPWC
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("gitter-lab/LPWC")
gitter-lab/LPWC documentation built on Jan. 25, 2020, 6:38 p.m.