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offlineChange

Detect Multiple Change Points from Time Series

Detect the number and locations of change points. The locations can be either exact or in terms of ranges, depending on the available computational resource. The method is based on Jie Ding, Yu Xiang, Lu Shen, Vahid Tarokh (2017) <doi:10.1109/TSP.2017.2711558>.

Versions across snapshots

VersionRepositoryFileSize
0.0.4 rolling linux/jammy R-4.5 offlineChange_0.0.4.tar.gz 351.1 KiB
0.0.4 rolling linux/noble R-4.5 offlineChange_0.0.4.tar.gz 352.8 KiB
0.0.4 rolling source/ R- offlineChange_0.0.4.tar.gz 243.2 KiB
0.0.4 latest linux/jammy R-4.5 offlineChange_0.0.4.tar.gz 351.1 KiB
0.0.4 latest linux/noble R-4.5 offlineChange_0.0.4.tar.gz 352.8 KiB
0.0.4 latest source/ R- offlineChange_0.0.4.tar.gz 243.2 KiB
0.0.4 2026-04-26 source/ R- offlineChange_0.0.4.tar.gz 243.2 KiB
0.0.4 2026-04-23 source/ R- offlineChange_0.0.4.tar.gz 243.2 KiB
0.0.4 2026-04-09 windows/windows R-4.5 offlineChange_0.0.4.zip 673.5 KiB
0.0.4 2025-04-20 source/ R- offlineChange_0.0.4.tar.gz 243.2 KiB

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