Evaluate a Positive Functional Data Object
eval.posfd
Language Reference for FDA Library

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))

REQUIRED 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.

OPTIONAL ARGUMENTS:

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.

VALUE:

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

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.>

SEE ALSO:

eval.fd, eval.monfd