mean_curve

Grid of x values over which to evaluate the function.

grid

Controls the period of the mean curve

period

If FALSE curve is constructed using sine and cosine functions,
if TRUE, curve is constructed using B-spline basis.

spline_based

This function generates mean for simulated accelerometer data.

A method for registering curves (functional data) that are generated from exponential family distributions. This
implements the algorithms described in 'Wrobel et al. (2019)' <doi:10.1111/biom.12963>. Curve registration is an active area of
research in functional data analysis, and 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

Jeff Goldsmith

Erin McDonnell

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