function_mean_bayes

This function calculates karcher mean of functions using Bayesian method

Bayesian

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

function_mean_bayes function

<dl><dt>f</dt>
<dd>matrix (\(N\) x \(M\)) of \(M\) functions with \(N\) samples</dd>
<dt>time</dt>
<dd>sample points of functions</dd>
<dt>times</dt>
<dd>factor of length of subsample points to look at (default = 5)</dd>
<dt>group</dt>
<dd>(defaults <code>1:dim(f)[2]</code>)</dd>
<dt>showplot</dt>
<dd>shows plots of functions (default = T)</dd></dl>

Arguments

Bayesian Karcher Mean Calculation — function_mean_bayes

<dl>

<dt>f</dt>
<dd>matrix (\(N\) x \(M\)) of \(M\) functions with \(N\) samples</dd>


<dt>time</dt>
<dd>sample points of functions</dd>


<dt>times</dt>
<dd>factor of length of subsample points to look at (default = 5)</dd>


<dt>group</dt>
<dd>(defaults <code>1:dim(f)[2]</code>)</dd>


<dt>showplot</dt>
<dd>shows plots of functions (default = T)</dd>

</dl>

function_mean_bayes: Bayesian Karcher Mean Calculation

Description

Usage

Value

Arguments

References

Examples