CRAN/E | LPWC

LPWC

Lag Penalized Weighted Correlation for Time Series Clustering

Installation

About

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.

Citation LPWC citation info
github.com/gitter-lab/LPWC
Bug report File report

Key Metrics

Version 1.0.0
R ≥ 3.0.2
Published 2020-01-23 1527 days ago
Needs compilation? yes
License MIT
License File
CRAN checks LPWC results

Downloads

Yesterday 14 0%
Last 7 days 36 -27%
Last 30 days 174 -9%
Last 90 days 693 +38%
Last 365 days 2.245 -20%

Maintainer

Maintainer

Thevaa Chandereng

chandereng@wisc.edu

Authors

Thevaa Chandereng

aut / cre / cph

Anthony Gitter

aut / cph

Material

README
NEWS
Reference manual
Package source

Vignettes

Cluster time series data

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

LPWC archive

Depends

R ≥ 3.0.2

Imports

nleqslv

Suggests

testthat
rmarkdown
pkgdown
ggplot2
knitr
devtools