Ker.norm

Symmetric, asymmetric, and integrated kernel functions for
nonparametric smoothing and density estimation.
Normal (Gaussian) Kernel

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

Ker.norm function

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

Arguments

Kernel Functions — Ker.norm

<dl>

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

</dl>

Ker.norm: Kernel Functions

Description

Usage

Value

Arguments

Examples