STMotif

Discovery of Motifs in Spatial-Time Series

Allows 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.

Total

584

Last month

268

Last week

43

Average per day

9

Daily downloads

Total downloads

Description file content

Package
STMotif
Type
Package
Title
Discovery of Motifs in Spatial-Time Series
Version
0.1.1
Maintainer
Heraldo Borges
Description
Allows 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.
License
GPL-2 | GPL-3
Encoding
UTF-8
LazyData
true
Imports
foreach, stats, ggplot2, reshape2, scales, grDevices, shiny
RoxygenNote
6.1.0
Suggests
knitr, rmarkdown
VignetteBuilder
knitr
NeedsCompilation
no
Packaged
2018-08-23 23:21:36 UTC; root
Author
Amin Bazaz [aut] (Polytech'Montpellier), Heraldo Borges [aut, cre] (CEFET/RJ), Eduardo Ogasawara [aut] (CEFET/RJ)
Depends
R (>= 2.10)
Repository
CRAN
Date/Publication
2018-08-24 09:14:35 UTC

install.packages('STMotif')

0.1.1

a month ago

Heraldo Borges

GPL-2 | GPL-3

Depends on

R (>= 2.10)

Imports

foreach, stats, ggplot2, reshape2, scales, grDevices, shiny

Suggests

knitr, rmarkdown

Discussions