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>.
Version: 1.2.2 Depends: R (≥ 3.5.0) Imports: stats (≥ 3.5.0), ggplot2 (≥ 3.1.0), rlang (≥ 0.4.0), utils (≥ 3.5.0), graphics (≥ 3.5.0) Suggests: survival (≥ 2.43) Published: 2022-11-04 DOI: 10.32614/CRAN.package.edecob Author: Zheng Chen Man [aut, cre] Maintainer: Zheng Chen Man <zheng.chen.man at alumni.ethz.ch> License: MIT + file LICENSE NeedsCompilation: no Materials: README CRAN checks: edecob results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=edecob to link to this page.
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