edecob
cranv1.2.2Event 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=edecob36
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curl https://depscope.dev/api/check/cran/edecobFirst published · 2022-11-04 13:32:38
Last updated · 2022-11-04T11:00:02+00:00