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.
- Version1.2.2
- R versionunknown
- LicenseMIT
- Needs compilation?No
- Last release11/04/2022
Documentation
Team
Zheng Chen Man
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