edecob: 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>.
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:
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