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-4.5)edecob_1.2.2.zip(r-4.4)edecob_1.2.2.zip(r-4.3)
edecob_1.2.2.tgz(r-4.4-any)edecob_1.2.2.tgz(r-4.3-any)
edecob_1.2.2.tar.gz(r-4.5-noble)edecob_1.2.2.tar.gz(r-4.4-noble)
edecob_1.2.2.tgz(r-4.4-emscripten)edecob_1.2.2.tgz(r-4.3-emscripten)
edecob.pdf |edecob.html✨
edecob/json (API)

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

Peer review:

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

Datasets:

On CRAN:

2.70 score 4 scripts 189 downloads 6 exports 28 dependencies

Last updated 2 years agofrom:21b0d2ead6. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 29 2024
R-4.5-winOKOct 29 2024
R-4.5-linuxOKOct 29 2024
R-4.4-winOKOct 29 2024
R-4.4-macOKOct 29 2024
R-4.3-winOKOct 29 2024
R-4.3-macOKOct 29 2024

Exports:bt_smootherconf_banddetect_eventedecobmov_medsmoother_resid

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr