edecob

cranv1.2.2

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>.

License MIT + file LICENSE0 versions1 maintainers5 deps77 weekly dl
https://CRAN.R-project.org/package=edecob
36
/ 100
Health
use with caution

[email protected] low health (36/100) — consider alternatives

  • Low health score (36/100)
Health breakdown0 – 100
0/25
maintenance
0/20
popularity
25/25
security
9/15
maturity
2/15
community
Vulnerabilities
0
none known

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First published · 2022-11-04 13:32:38

Last updated · 2022-11-04T11:00:02+00:00

edecob — Health Score 36/100 | DepScope