cp_detect

Detect a single change point (parametric methods)

A generic sleep–wake cycle detection algorithm for analyzing unlabeled actigraphy data.
The algorithm has been validated against event markers using data from the Multi-Ethnic Study of Atherosclerosis (MESA) Sleep study,
and its methodological details are described in Chen and Sun (2024) <doi:10.1098/rsos.231468>.
The package provides functions to estimate sleep metrics (e.g., sleep and wake onset times) and circadian rhythm metrics
(e.g., mesor, phasor, interdaily stability, intradaily variability), as well as tools for screening actigraphy quality,
fitting cosinor models, and performing parametric change point detection.
The workflow can also be used to segment long actigraphy sequences into regularized structures for physical activity research.

Shanshan Chen

CircaCP

Sleep and Circadian Metrics Estimation from Actigraphy Data

Jonathon Jacobs

cp_detect function

<dl><dt>M</dt>
<dd>minute-level Activity vector;</dd>
<dt>dist</dt>
<dd>Actigraphy data distribution family,
including <code>Gaussian</code>, <code>Gamma</code>, <code>ZAG</code> (Zero-Augmented Gamma), <code>Poisson</code>, <code>Exponential</code></dd></dl>

Arguments

Detect a single change point (parametric methods) — cp_detect

<dl>

<dt>M</dt>
<dd>minute-level Activity vector;</dd>


<dt>dist</dt>
<dd>Actigraphy data distribution family,
including <code>Gaussian</code>, <code>Gamma</code>, <code>ZAG</code> (Zero-Augmented Gamma), <code>Poisson</code>, <code>Exponential</code></dd>

</dl>

cp_detect: Detect a single change point (parametric methods)

Description

Usage

Value

Arguments

See Also