space_measuring_functions

This function is used to compute discretized functions, i.e. vectors, to
explore functional spaces.

Analyze functional data and its change points. Includes
functionality to store and process data, summarize and validate assumptions,
characterize and perform inference of change points, and provide
visualizations. Data is stored as discretely collected observations without
requiring the selection of basis functions. For more details see chapter 8
of Horvath and Rice (2024) <doi:10.1007/978-3-031-51609-2>. Additional papers
are forthcoming. Focused works are also included in the documentation of
corresponding functions.

Jeremy VanderDoes

fChange

Functional Change Point Detection and Analysis

Gregory Rice

Martin Wendler

space_measuring_functions function

<dl><dt>X</dt>
<dd>A dfts object or data which can be automatically converted to that
format. See <code>dfts()</code>.</dd>
<dt>M</dt>
<dd>Integer for the number of functions to generate.</dd>
<dt>space</dt>
<dd>String for the space of interest. Options are Brownian motion
('BM'), principal components ('PC'), and vectors in iid standard,
random normals ('RN'). Additional options are forthcoming</dd></dl>

Arguments

Compute Spacing Measuring Functions — space_measuring_functions

<dl>

<dt>X</dt>
<dd>A dfts object or data which can be automatically converted to that
format. See <code>dfts()</code>.</dd>


<dt>M</dt>
<dd>Integer for the number of functions to generate.</dd>


<dt>space</dt>
<dd>String for the space of interest. Options are Brownian motion
('BM'), principal components ('PC'), and vectors in iid standard,
random normals ('RN'). Additional options are forthcoming</dd>

</dl>

space_measuring_functions: Compute Spacing Measuring Functions

Description

Usage

Value

Arguments

See Also

Examples