Kernel.integrate

Evaluates an integrated kernel function by name.

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

Kernel.integrate function

<dl><dt>u</dt>
<dd>Numeric vector of evaluation points.</dd>
<dt>Ker</dt>
<dd>Kernel type: "norm", "epa", "tri", "quar", "cos", or "unif".</dd>
<dt>a</dt>
<dd>Lower integration bound (default -1 for symmetric kernels).
Not currently used (always integrates from -1 or -Inf).</dd></dl>

Arguments

Unified Integrated Kernel Interface — Kernel.integrate

<dl>

<dt>u</dt>
<dd>Numeric vector of evaluation points.</dd>


<dt>Ker</dt>
<dd>Kernel type: "norm", "epa", "tri", "quar", "cos", or "unif".</dd>


<dt>a</dt>
<dd>Lower integration bound (default -1 for symmetric kernels).
Not currently used (always integrates from -1 or -Inf).</dd>

</dl>

Kernel.integrate: Unified Integrated Kernel Interface

Description

Usage

Value

Arguments

Examples