mean_curve

This function generates mean for simulated accelerometer data.

A method for performing joint registration and functional principal
component analysis for curves (functional data) that are generated from exponential family distributions. This
mainly implements the algorithms described in 'Wrobel et al. (2019)' <doi:10.1111/biom.12963> and further adapts them to potentially
incomplete curves where (some) curves are not observed from the beginning and/or until the end of the common domain. Curve registration
can be used to better understand patterns in functional data by separating curves into phase and amplitude variability.
This software handles both binary and continuous functional data, and is
especially applicable in accelerometry and wearable technology.

Julia Wrobel

registr

Curve Registration for Exponential Family Functional Data

Alexander Bauer

Erin McDonnell

Fabian Scheipl

Jeff Goldsmith

mean_curve function

<dl><dt>grid</dt>
<dd>Grid of x values over which to evaluate the function.</dd>
<dt>period</dt>
<dd>Controls the period of the mean curve</dd>
<dt>spline_based</dt>
<dd>If FALSE curve is constructed using sine and cosine functions,
if TRUE, curve is constructed using B-spline basis.</dd></dl>

Arguments

Simulate mean curve — mean_curve

<dl>

<dt>grid</dt>
<dd>Grid of x values over which to evaluate the function.</dd>


<dt>period</dt>
<dd>Controls the period of the mean curve</dd>


<dt>spline_based</dt>
<dd>If FALSE curve is constructed using sine and cosine functions,
if TRUE, curve is constructed using B-spline basis.</dd>

</dl>

mean_curve: Simulate mean curve

Description

Usage

Value

Arguments