calcScaleDistMats

Calculates matrices 'ScaleMat' and 'DistMat', which are used to 
obtain NSGP covariance matrices

Functionalities for modelling functional data with
multidimensional inputs, multivariate functional data, and non-separable
and/or non-stationary covariance structure of function-valued processes.
In addition, there are functionalities for functional regression models where
the mean function depends on scalar and/or functional covariates and
the covariance structure depends on functional covariates.
The development version of the package can be found on
<https://github.com/gpfda/GPFDA-dev>.

Evandro Konzen

GPFDA

Gaussian Process for Functional Data Analysis

calcScaleDistMats function

<dl><dt>A_List</dt>
<dd>List of anisotropy matrices</dd>
<dt>coords</dt>
<dd>Matrix of input coordinates (covariates)</dd></dl>

Arguments

Calculate matrices for NSGP covariance function — calcScaleDistMats

<dl>

<dt>A_List</dt>
<dd>List of anisotropy matrices</dd>


<dt>coords</dt>
<dd>Matrix of input coordinates (covariates)</dd>

</dl>

calcScaleDistMats: Calculate matrices for NSGP covariance function

Description

Usage

Value

Arguments

Examples