fastpns

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

fastpns function

<dl><dt>x</dt>
<dd>data on sphere</dd>
<dt>n.pc</dt>
<dd>number of pc's (default 'Full')</dd>
<dt>sphere.type</dt>
<dd>type of sphere decompistion (default 'seq.test')</dd>
<dt>mean.type</dt>
<dd>type of mean (default 'Frechet')</dd>
<dt>alpha</dt>
<dd>significant level for test (default .1)</dd>
<dt>R</dt>
<dd>the number of bootstrap samples to be evaluated for the sequential test. The default is 100.</dd>
<dt>nlast.small.sphere</dt>
<dd>(default 1)</dd>
<dt>output</dt>
<dd>show output (default <code>TRUE</code>)</dd></dl>

Arguments

Computes fast PNS decomposition — fastpns

<dl>

<dt>x</dt>
<dd>data on sphere</dd>


<dt>n.pc</dt>
<dd>number of pc's (default 'Full')</dd>


<dt>sphere.type</dt>
<dd>type of sphere decompistion (default 'seq.test')</dd>


<dt>mean.type</dt>
<dd>type of mean (default 'Frechet')</dd>


<dt>alpha</dt>
<dd>significant level for test (default .1)</dd>


<dt>R</dt>
<dd>the number of bootstrap samples to be evaluated for the sequential test. The default is 100.</dd>


<dt>nlast.small.sphere</dt>
<dd>(default 1)</dd>


<dt>output</dt>
<dd>show output (default <code>TRUE</code>)</dd>

</dl>

fastpns: Computes fast PNS decomposition

Description

Usage

Value

Arguments