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
| Version | Repository | File | Size |
|---|---|---|---|
1.2.2 |
rolling source/ R- | edecob_1.2.2.tar.gz |
27.5 KiB |
1.2.2 |
latest 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 |