fastfun-class: Class for fast to compute objective.

Description Usage Arguments Methods (by generic) Slots Objects from the Class

Description

Class for fast to compute objective.

Usage

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## S4 method for signature 'fastfun'
predict(object, newdata, ...)

## S4 method for signature 'fastfun'
update(object, newX, newy, ...)

## S4 method for signature 'fastfun'
simulate(object, nsim, seed, newdata, cond, nugget.sim, checkNames, ...)

Arguments

object

fastfun object

newdata

an optional vector, matrix or data frame containing the points where to perform predictions. Default is NULL: simulation is performed at design points specified in object.

...

further arguments (not used)

newX

Matrix of the new location for the design

newy

Matrix of the responses at newX

nsim

an optional number specifying the number of response vectors to simulate. Default is 1.

seed

usual seed argument of method simulate. Not used.

cond

an optional boolean indicating the type of simulations. Not used.

nugget.sim

an optional number corresponding to a numerical nugget effect. Not used.

checkNames

an optional boolean. Not used.

Methods (by generic)

Slots

d

spatial dimension,

n

observations number,

X

the design of experiments, size n x d,

y

the observations, size n x 1,

fun

the evaluator function.

Objects from the Class

To create a fastfun object, use fastfun. See also this function for more details and examples.


GPareto documentation built on May 31, 2021, 5:09 p.m.