basisEval: Evaluates a BayesSpaceBasis

In DistributionalDDA: Distributional Data Analysis in Bayes Spaces

Evaluates a BayesSpaceBasis

Description

The basis is represented by log-densities. The function is vectorized, i.e. multiple x values may be provided.

Usage

basisEval(basis, x, ...)

## S3 method for class 'BayesSpaceBasis'
basisEval(basis, x, ...)

## S3 method for class 'basisfd'
basisEval(basis, x, ...)

## S3 method for class 'BayesSpaceBasis'
as.function(x, ...)

Arguments

basis	a description of a basis, e.g. through a BayesSpaceBasis object
x	the data values on which the basis shall be evaluated
...	further parameters that a generic can use, e.g. describing method and precision of evaluation.

Value

a matrix with the evaluation for one each of the x in a row.

Methods (by class)

• basisEval(BayesSpaceBasis): the standard method for BayesSpaceBasis

• basisEval(basisfd): a method implementation for basisfd

Functions

• as.function(BayesSpaceBasis): the basis can also be converted to a function or called directly

Examples

x = seq(0,1,by=0.1)
basisEval(B2Unif01Basis5,x)

DistributionalDDA documentation built on Oct. 20, 2026, 5:06 p.m.