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" .


Reference manual

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1.0.0 by Zheng Chen Man, a month ago

Browse source code at https://github.com/cran/edecob

Authors: Zheng Chen Man [aut, cre]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports stats, ggplot2, rlang, utils, graphics

Suggests survival

See at CRAN