data_clean

Dataframe. Should have values id, value, index.

data

<code>gaussian</code> or <code>binomial</code>.

family

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

data_clean function

<dl><dt>data</dt>
<dd>Dataframe. Should have values id, value, index.</dd>
<dt>family</dt>
<dd><code>gaussian</code> or <code>binomial</code>.</dd></dl>

Arguments

Convert data to a refund object — data_clean

<dl>

<dt>data</dt>
<dd>Dataframe. Should have values id, value, index.</dd>


<dt>family</dt>
<dd><code>gaussian</code> or <code>binomial</code>.</dd>

</dl>

data_clean: Convert data to a `refund` object

Description

Usage

Value

Arguments