Description Usage Arguments Value Author(s) References
Function for collating and calculating constants needed for fitting the emulator
1 2 3 4 | makeEmulatorConstants(phi, inputs, H, outputs, cor.function, nugget = NULL,
sigmasq.hat = NULL, ...)
makeEmulatorConstantsLMC(phi, sigma, inputs, H, outputs, cor.function, ...)
|
phi |
Optimum Maximum likelihood estimate of the correlation length parameter |
inputs |
A data frame, matrix or vector containing the input values of the training data. |
H |
A matrix of prior mean regressors for the training data |
outputs |
A data frame, matrix or vector containing the output values of the training data.In |
cor.function |
Specifies a correlation function used as part of the prior information for the emulator.
This package has options of: |
nugget |
For noisy data, a vector giving the observation variance for each training data point. |
sigmasq.hat |
Optimum Maximum likelihood estimate of the unknown scale parameter. |
... |
additional arguments to be passed on to correlation functions (see |
sigma |
Optimum Maximum likelihood estimate of the between outputs variance covariance matrix. |
The function returns a list containting some components as the emulatorFit
class.
See fitEmulator
for details
Originally written by Jeremy Oakley. Modified by Sajni Malde
J. Oakley 1999. 'Bayesian uncertainty analysis for complex computer codes', PhD thesis, University of Sheffield.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.