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