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edecob  

Event Detection Using Confidence Bounds
View on CRAN: Click here


Download and install edecob package within the R console
Install from CRAN:
install.packages("edecob")

Install from Github:
library("remotes")
install_github("cran/edecob")

Install by package version:
library("remotes")
install_version("edecob", "1.2.2")



Attach the package and use:
library("edecob")
Maintained by
Zheng Chen Man
[Scholar Profile | Author Map]
First Published: 2021-12-17
Latest Update: 2022-11-04
Description:
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" .
How to cite:
Zheng Chen Man (2021). edecob: Event Detection Using Confidence Bounds. R package version 1.2.2, https://cran.r-project.org/web/packages/edecob. Accessed 11 Apr. 2025.
Previous versions and publish date:
1.0.0 (2021-12-17 20:40), 1.1.0 (2022-05-27 14:40), 1.2.0 (2022-09-25 17:20), 1.2.1 (2022-10-25 10:25)
Other packages that cited edecob R package
View edecob citation profile
Other R packages that edecob depends, imports, suggests or enhances
Complete documentation for edecob
Functions, R codes and Examples using the edecob R package
Some associated functions: bt_smoother . conf_band . detect_event . edecob . example_data . mov_med . plot.edecob . smoother_resid . summary.edecob . 
Some associated R codes: bt_smoother.R . conf_band.R . detect_event.R . edecob.R . example_data.R . mov_med.R . plot.R . smoother_resid.R . summary.R .  Full edecob package functions and examples
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