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STMotif

Discovery of Motifs in Spatial-Time Series

v2.0.3 · Mar 29, 2026 · GPL-3
CRAN GitHub Mirror

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.

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CRAN Check Status

14 OK
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Flavor Status
r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies ggplot2 scales RColorBrewer rlang STMotif

Version History

updated 2.0.3 ← 2.0.2 diff Mar 29, 2026
new 2.0.2 Mar 10, 2026
updated 2.0.2 ← 2.0.1 diff Feb 22, 2024
updated 2.0.1 ← 2.0.0 diff Nov 13, 2020
updated 2.0.0 ← 1.0.4 diff Jan 22, 2020
updated 1.0.4 ← 1.0.3 diff Aug 22, 2019
updated 1.0.3 ← 1.0.2 diff Aug 21, 2019
updated 1.0.2 ← 1.0.1 diff Feb 10, 2019
updated 1.0.1 ← 1.0.0 diff Nov 8, 2018
updated 1.0.0 ← 0.1.1 diff Oct 21, 2018
updated 0.1.1 ← 0.1.0 diff Aug 23, 2018
new 0.1.0 Aug 6, 2018