CRAN/E | edecob

edecob

Event Detection Using Confidence Bounds

Installation

About

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.

Key Metrics

Version 1.2.2
R ≥ 3.5.0
Published 2022-11-04 511 days ago
Needs compilation? no
License MIT
License File
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Maintainer

Maintainer

Zheng Chen Man

zheng.chen.man@alumni.ethz.ch

Authors

Zheng Chen Man

aut / cre

Material

README
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

edecob archive

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