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'))

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

Datasets:

example_data - Artificially generated data for examples

On CRAN:

6 exports 0.74 score 28 dependencies 4 scripts 230 downloads

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

Target	Result	Date
Doc / Vignettes	OK	Aug 30 2024
R-4.5-win	OK	Aug 30 2024
R-4.5-linux	OK	Aug 30 2024
R-4.4-win	OK	Aug 30 2024
R-4.4-mac	OK	Aug 30 2024
R-4.3-win	OK	Aug 30 2024
R-4.3-mac	OK	Aug 30 2024

Exports:bt_smoother conf_band detect_event edecob mov_med smoother_resid

Dependencies:cli colorspace fansi farver ggplot2 glue gtable isoband labeling lattice lifecycle magrittr MASS Matrix mgcv munsell nlme pillar pkgconfig R6 RColorBrewer rlang scales tibble utf8 vctrs viridisLite withr

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Bootstrap the Smoother	bt_smoother
Confidence Bounds of the Smoother	conf_band
Detect Events	detect_event
Event DEtection using COnfidence Bounds	edecob
Artificially generated data for examples	example_data
Moving Median over a Time Window	mov_med
Plot Event Data	plot.edecob
Residuals of the Smoother	smoother_resid
Summarizing Event Detection Results	summary.edecob