The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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:

Reference manual: edecob.pdf

Downloads:

Package source: edecob_1.2.2.tar.gz
Windows binaries: r-devel: edecob_1.2.2.zip, r-release: edecob_1.2.2.zip, r-oldrel: edecob_1.2.2.zip
macOS binaries: r-release (arm64): edecob_1.2.2.tgz, r-oldrel (arm64): edecob_1.2.2.tgz, r-release (x86_64): edecob_1.2.2.tgz, r-oldrel (x86_64): edecob_1.2.2.tgz
Old sources: edecob archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=edecob to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.