joint_gauss_model

This function models the functional data using a Gaussian model extracted from
the principal components of the srvfs using the joint model

Performs alignment, PCA, and modeling of multidimensional and
unidimensional functions using the square-root velocity framework
(Srivastava et al., 2011 <doi:10.48550/arXiv.1103.3817> and Tucker et al., 2014
<DOI:10.1016/j.csda.2012.12.001>). This framework allows for elastic
analysis of functional data through phase and amplitude separation.

J Derek Tucker

fdasrvf

Elastic Functional Data Analysis

J. Derek Tucker

Aymeric Stamm

joint_gauss_model function

<dl><dt>warp_data</dt>
<dd>fdawarp object from time_warping of aligned data</dd>
<dt>n</dt>
<dd>number of random samples (n = 1)</dd>
<dt>no</dt>
<dd>number of principal components (n=4)</dd></dl>

Arguments

Gaussian model of functional data using joint Model — joint_gauss_model

<dl>

<dt>warp_data</dt>
<dd>fdawarp object from time_warping of aligned data</dd>


<dt>n</dt>
<dd>number of random samples (n = 1)</dd>


<dt>no</dt>
<dd>number of principal components (n=4)</dd>

</dl>

joint_gauss_model: Gaussian model of functional data using joint Model

Description

Usage

Value

Arguments

References

Examples