example_data

A dataset in the long format containing the jump height
of 3 subjects over 300 days.

datasets

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>.

Zheng Chen Man

edecob

Event Detection Using Confidence Bounds

example_data function

A dataframe with 317 rows and 5 variables:<dl>
<dt>subject</dt>
<dd>The subject identifier</dd><dt>time_point</dt>
<dd>The point in time from which the data is collected, in days</dd><dt>jump_height</dt>
<dd>The jump height, in cm</dd><dt>detect_lower</dt>
<dd>The lower detection bound for the subject</dd><dt>detect_upper</dt>
<dd>The upper detection bound for the subject</dd>
</dl>

Format

Artificially generated data for examples — example_data

A dataframe with 317 rows and 5 variables:<dl>
<dt>subject</dt>
<dd>The subject identifier</dd>

<dt>time_point</dt>
<dd>The point in time from which the data is collected, in days</dd>

<dt>jump_height</dt>
<dd>The jump height, in cm</dd>

<dt>detect_lower</dt>
<dd>The lower detection bound for the subject</dd>

<dt>detect_upper</dt>
<dd>The upper detection bound for the subject</dd>


</dl>

example_data: Artificially generated data for examples

Description

Usage

Arguments

Format