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edecob

Event Detection Using Confidence Bounds

Detects sustained change in digital bio-marker data using simultaneous confidence bands. Accounts for noise using an auto-regressive model. Based on Buehlmann (1998) "Sieve bootstrap for smoothing in nonstationary time series" <doi:10.1214/aos/1030563978>.

Versions across snapshots

VersionRepositoryFileSize
1.2.2 rolling linux/jammy R-4.5 edecob_1.2.2.tar.gz 94.3 KiB
1.2.2 rolling linux/noble R-4.5 edecob_1.2.2.tar.gz 94.1 KiB
1.2.2 rolling source/ R- edecob_1.2.2.tar.gz 27.5 KiB
1.2.2 latest linux/jammy R-4.5 edecob_1.2.2.tar.gz 94.3 KiB
1.2.2 latest linux/noble R-4.5 edecob_1.2.2.tar.gz 94.1 KiB
1.2.2 latest source/ R- edecob_1.2.2.tar.gz 27.5 KiB
1.2.2 2026-04-26 source/ R- edecob_1.2.2.tar.gz 27.5 KiB
1.2.2 2026-04-23 source/ R- edecob_1.2.2.tar.gz 27.5 KiB
1.2.2 2026-04-09 windows/windows R-4.5 edecob_1.2.2.zip 97.3 KiB
1.2.2 2025-04-20 source/ R- edecob_1.2.2.tar.gz 27.5 KiB

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