squareTheta

vector of variational parameters for the current subject.

spline basis functions for the current subject.

theta

Calculations quadratic form of theta with diagonalized variational parameter in the center.

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

squareTheta function

<dl><dt>xi</dt>
<dd>vector of variational parameters for the current subject.</dd>
<dt>theta</dt>
<dd>spline basis functions for the current subject.</dd></dl>

Arguments

Calculate quadratic form of spline basis functions for the current subject. — squareTheta

<dl>

<dt>xi</dt>
<dd>vector of variational parameters for the current subject.</dd>


<dt>theta</dt>
<dd>spline basis functions for the current subject.</dd>

</dl>

squareTheta: Calculate quadratic form of spline basis functions for the current subject.

Description

Usage

Value

Arguments