constraints

Number of B-spline basis functions used to estimate warping functions h.

Minimum value to be evaluated on the time domain.

t_min

Maximum value to be evaluated on the time domain.

t_max

If FALSE (default), inverse warping functions are 
estimated nonparametrically. If 'beta_cdf', they are assumed to have the form of a 
Beta(a,b) CDF. If 'piecewise' they follow a piecewise parameterized function.

parametric_warps

Constraints ensure monotonicity of spline coefficients for warping functions 
for use with <code><a href="/link/constrOptim()?package=registr&version=1.0.0" data-mini-rdoc="registr::constrOptim()">constrOptim()</a></code> function.

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

constraints function

<dl><dt>Kh</dt>
<dd>Number of B-spline basis functions used to estimate warping functions h.</dd>
<dt>t_min</dt>
<dd>Minimum value to be evaluated on the time domain.</dd>
<dt>t_max</dt>
<dd>Maximum value to be evaluated on the time domain.</dd>
<dt>parametric_warps</dt>
<dd>If FALSE (default), inverse warping functions are 
estimated nonparametrically. If 'beta_cdf', they are assumed to have the form of a 
Beta(a,b) CDF. If 'piecewise' they follow a piecewise parameterized function.</dd></dl>

Arguments

Constraints ensure monotonicity of spline coefficients for warping functions 
for use with <code><a href='https://rdrr.io/r/stats/constrOptim.html'>constrOptim()</a></code> function.

Define constraints for optimization of warping functions — constraints

<dl>

<dt>Kh</dt>
<dd>Number of B-spline basis functions used to estimate warping functions h.</dd>


<dt>t_min</dt>
<dd>Minimum value to be evaluated on the time domain.</dd>


<dt>t_max</dt>
<dd>Maximum value to be evaluated on the time domain.</dd>


<dt>parametric_warps</dt>
<dd>If FALSE (default), inverse warping functions are 
estimated nonparametrically. If 'beta_cdf', they are assumed to have the form of a 
Beta(a,b) CDF. If 'piecewise' they follow a piecewise parameterized function.</dd>

</dl>

constraints: Define constraints for optimization of warping functions

Description

Usage

Value

Arguments