curve_karcher_cov

Calculate Karcher Covariance of a set of curves

alignment

srvf

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

curve_karcher_cov function

<dl><dt>v</dt>
<dd>array of sizes \(n \times T \times N\) for \(N\) shooting
vectors of dimension \(n\) evaluated on a grid of \(T\) points</dd>
<dt>len</dt>
<dd>lengths of curves (default = <code>NA</code>)</dd></dl>

Arguments

Curve Karcher Covariance — curve_karcher_cov

<dl>

<dt>v</dt>
<dd>array of sizes \(n \times T \times N\) for \(N\) shooting
vectors of dimension \(n\) evaluated on a grid of \(T\) points</dd>


<dt>len</dt>
<dd>lengths of curves (default = <code>NA</code>)</dd>

</dl>

curve_karcher_cov: Curve Karcher Covariance

Description

Usage

Value

Arguments

References

Examples