eval.posfd {fda}R Documentation

Evaluate a Positive Functional Data Object

Description

Evaluate a positive functional data object at specified argument values, or evaluate a derivative of the functional object.

Usage

eval.posfd(evalarg, Wfdobj, Lfdobj=int2Lfd(0))

Arguments

evalarg a vector of argument values at which the functional data object is to be evaluated.
Wfdobj a functional data object that defines the positive function to be evaluated. Only univariate functions are permitted.
Lfdobj a nonnegative integer specifying a derivative to be evaluated. AT this time of writing, permissible derivative values are 0, 1 or 2. A linear differential operator is not allowed.

Details

A positive function data object $h(t)$ is defined by $h(t) =[exp Wfd](t)$. The function Wfdobj that defines the positive function is usually estimated by positive smoothing function smooth.positive

Value

a matrix containing the positive function values. The first dimension corresponds to the argument values in evalarg and the second to replications.

See Also

eval.fd, eval.monfd


[Package fda version 1.2.0 Index]