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 |
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