depth.RPD

Wrapper for <code>depth(method = "RPD")</code>. Useful as a function argument.

Functional data analysis tools with a high-performance 'Rust' backend.
Provides methods for functional data manipulation, depth computation,
distance metrics, regression, and statistical testing. Supports both
1D functional data (curves) and 2D functional data (surfaces).
Methods are described in Ramsay and Silverman (2005,
ISBN:978-0-387-40080-8) "Functional Data Analysis" and Ferraty and
Vieu (2006, ISBN:978-0-387-30369-7) "Nonparametric Functional Data
Analysis".

Dr. Mueller

fdars

Functional Data Analysis in 'Rust'

Simon Müller

depth.RPD function

<dl><dt>fdataobj</dt>
<dd>An object of class 'fdata'.</dd>
<dt>fdataori</dt>
<dd>Reference sample (default: fdataobj itself).</dd>
<dt>...</dt>
<dd>Additional arguments.</dd></dl>

Arguments

Random Projection Depth with Derivatives — depth.RPD

<dl>

<dt>fdataobj</dt>
<dd>An object of class 'fdata'.</dd>


<dt>fdataori</dt>
<dd>Reference sample (default: fdataobj itself).</dd>


<dt>...</dt>
<dd>Additional arguments.</dd>

</dl>

depth.RPD: Random Projection Depth with Derivatives

Description

Usage

Value

Arguments

See Also