Description Usage Arguments Value References See Also Examples

Predicts the output and associated uncertainties of the GP model fitted by `LVGP_fit`

.

1 | ```
LVGP_predict(X_new, model, MSE_on = 0)
``` |

`X_new` |
Matrix or vector containing the input(s) where the predictions are to be made. Each row is an input vector. |

`model` |
The LVGP model fitted by |

`MSE_on` |
A scalar indicating whether the uncertainty (i.e., mean squared error |

A prediction list containing the following components:

`Y_hat`

A vector containing the mean prediction values`MSE`

A vector containing the prediction uncertainty (i.e., the covariance or covariance matrix for the output(s) at prediction location(s))

"A Latent Variable Approach to Gaussian Process Modeling with Qualitative and Quantitative Factors", Yichi Zhang, Siyu Tao, Wei Chen, and Daniel W. Apley (arXiv)

`LVGP_fit`

to fit LVGP model to the datasets.

`LVGP_plot`

to plot the features of the fitted model.

1 | ```
# see the examples in the documentation of the function LVGP_fit.
``` |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.