Package: edecob 1.2.2

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>.

Authors:Zheng Chen Man [aut, cre]

edecob_1.2.2.tar.gz
edecob_1.2.2.zip(r-4.7-any)edecob_1.2.2.zip(r-4.6-any)edecob_1.2.2.zip(r-4.5-any)
edecob_1.2.2.tgz(r-4.6-any)edecob_1.2.2.tgz(r-4.5-any)
edecob_1.2.2.tar.gz(r-4.7-any)edecob_1.2.2.tar.gz(r-4.6-any)
edecob_1.2.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
edecob/json (API)

# Install 'edecob' in R:
install.packages('edecob', repos = c('https://manzhch.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/manzhch/edecob/issues

Datasets:

On CRAN:

Conda:

2.70 score 4 scripts 334 downloads 6 exports 17 dependencies

Last updated from:21b0d2ead6. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK108
source / vignettesOK136
linux-releaseOK101
macos-releaseOK121
macos-oldrelOK192
windows-develOK69
windows-releaseOK64
windows-oldrelOK66
wasm-releaseOK77

Exports:bt_smootherconf_banddetect_eventedecobmov_medsmoother_resid

Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglifecycleR6RColorBrewerrlangS7scalesvctrsviridisLitewithr