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STMotif  

Discovery of Motifs in Spatial-Time Series
View on CRAN: Click here


Download and install STMotif package within the R console
Install from CRAN:
install.packages("STMotif")

Install from Github:
library("remotes")
install_github("cran/STMotif")

Install by package version:
library("remotes")
install_version("STMotif", "2.0.2")



Attach the package and use:
library("STMotif")
Maintained by
Heraldo Borges
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-08-07
Latest Update: 2024-02-23
Description:
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.
How to cite:
Heraldo Borges (2018). STMotif: Discovery of Motifs in Spatial-Time Series. R package version 2.0.2, https://cran.r-project.org/web/packages/STMotif. Accessed 04 Jun. 2026.
Previous versions and publish date:
0.1.0 (2018-08-07 20:50), 0.1.1 (2018-08-24 11:14), 1.0.0 (2018-10-22 17:10), 1.0.1 (2018-11-09 14:00), 1.0.2 (2019-02-11 16:13), 1.0.3 (2019-08-22 13:00), 1.0.4 (2019-08-23 00:20), 2.0.0 (2020-01-23 14:20), 2.0.1 (2020-11-14 18:10), 2.0.2 (2024-02-23 20:00)
Other packages that cited STMotif R package
View STMotif citation profile
Other R packages that STMotif depends, imports, suggests or enhances
Complete documentation for STMotif
Functions, R codes and Examples using the STMotif R package
Some associated functions: CSAMiningProcess . NormSAX . RankSTMotifs . STMotif . STSADatasetAdjust . SearchSTMotifs . display_motifsDataset . display_motifsSTSeries . example_dataset . 
Some associated R codes: STMotif.R . example_dataset.R . mainFunction.R . subFunction.R . visualization.R .  Full STMotif package functions and examples
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