predppgasp-class: Predicted PP GaSP class

In RobustGaSP: Robust Gaussian Stochastic Process Emulation

Predicted PP GaSP class

Description

S4 class for the prediction of a PP GaSP model

Objects from the Class

Objects of this class are created and initialized with the function predict.ppgasp that computes the prediction on the PP GaSP model after the PP GaSP model has been constructed.

Slots

call:

call to predict.ppgasp function where the returned object has been created.

mean:

predictive mean for the testing inputs.

lower95:

lower bound of the 95% posterior credible interval.

upper95:

upper bound of the 95% posterior credible interval.

sd:

standard deviation of each testing_input.

Author(s)

Mengyang Gu [aut, cre], Jesus Palomo [aut], James Berger [aut]

Maintainer: Mengyang Gu <[e-mail]>

See Also

predict.ppgasp for more details about how to make predictions based on a ppgasp object.

RobustGaSP documentation built on June 10, 2025, 5:13 p.m.