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" .


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("edecob")

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