h_inv_parametric

grid of values over which to evaluate the function.

grid

maximum value to be evaluated on the time domain.

t_max

parameter that controls shape of warping. Result 
approaches identity warp as beta approaches zero.

beta

One parameter parametric warping on (0, T)

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

h_inv_parametric function

<dl><dt>grid</dt>
<dd>grid of values over which to evaluate the function.</dd>
<dt>t_max</dt>
<dd>maximum value to be evaluated on the time domain.</dd>
<dt>beta</dt>
<dd>parameter that controls shape of warping. Result 
approaches identity warp as beta approaches zero.</dd></dl>

Arguments

One parameter parametric warping on (0, T) — h_inv_parametric

<dl>

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


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


<dt>beta</dt>
<dd>parameter that controls shape of warping. Result 
approaches identity warp as beta approaches zero.</dd>

</dl>

h_inv_parametric: One parameter parametric warping on (0, T)

Description

Usage

Value

Arguments

Examples