CRAN/E | STMotif

STMotif

Discovery of Motifs in Spatial-Time Series

Installation

About

Allow to identify motifs in spatial-time series. A motif is a previously unknown subsequence of a (spatial) time series with relevant number of occurrences. For this purpose, the Combined Series Approach (CSA) is used.

Citation STMotif citation info
github.com/heraldoborges/STMotif/wiki
Bug report File report

Key Metrics

Version 2.0.1
Published 2020-11-14 856 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks STMotif results

Downloads

Last 24 hours 0 -100%
Last 7 days 82 -25%
Last 30 days 300 +15%
Last 90 days 773 -10%
Last 365 days 3.836 -24%

Maintainer

Maintainer

Heraldo Borges

stmotif@eic.cefet-rj.br

Authors

Heraldo Borges

aut / cre

(CEFET/RJ)

Amin Bazaz

aut

(Polytech'Montpellier)

Esther Pacciti

aut

(INRIA/Polytech'Montpellier)

Eduardo Ogasawara

aut

(CEFET/RJ)

Material

NEWS
Reference manual
Package source

Vignettes

STMotif R Package

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

STMotif archive

Imports

stats
ggplot2
reshape2
scales
grDevices
RColorBrewer
shiny

Suggests

knitr
rmarkdown
testthat