quantile.dfts

Obtain the pointwise quantile information of functional data.

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

quantile.dfts function

<dl><dt>x</dt>
<dd>A dfts object. See <code>dfts()</code>.</dd>
<dt>probs</dt>
<dd>Numerics in [0,1] indicating the probabilities of interest.</dd>
<dt>...</dt>
<dd>Additional parameters to pass into <code><a href="/link/stats%3A%3Aquantile()?package=fChange&version=2.1.0" data-mini-rdoc="fChange::stats::quantile()">stats::quantile()</a></code> function.</dd></dl>

Arguments

Quantile dfts — quantile.dfts

<dl>

<dt>x</dt>
<dd>A dfts object. See <code>dfts()</code>.</dd>


<dt>probs</dt>
<dd>Numerics in [0,1] indicating the probabilities of interest.</dd>


<dt>...</dt>
<dd>Additional parameters to pass into <code><a href='https://rdrr.io/r/stats/quantile.html'>stats::quantile()</a></code> function.</dd>

</dl>

quantile.dfts: Quantile dfts

Description

Usage

Value

Arguments

See Also

Examples