generate.toy.observations | R Documentation |
Generates toy observations on four levels using either internal (unknown) parameters and hyperparameters, or user-supplied versions.
generate.toy.observations(D1, subsets, basis.fun, hpa = NULL, betas = NULL,
export.truth = FALSE)
D1 |
Design matrix for level 1 code |
subsets |
Subset object |
basis.fun |
Basis function |
hpa |
Hyperparameter object. If |
betas |
Regression coefficients. If |
export.truth |
Boolean, with default |
Robin K. S. Hankin
M. C. Kennedy and A. O'Hagan 2000. “Predicting the output from a complex computer code when fast approximations are available” Biometrika, 87(1): pp1-13
data(toyapps)
generate.toy.observations(D1=D1.toy, subsets=subsets.toy, basis.fun=basis.toy)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.