create.new.toy.datasets {calibrator} | R Documentation |
Creates new toy datasets, by sampling from an explicitly specified multivariate Gaussian distribution whose covariance matrix is that required for a Gaussian process.
create.new.toy.datasets(D1,D2,export=FALSE)
export |
Boolean, with default FALSE meaning to return toy
datasets and TRUE meaning to return, instead, a list of the
true values of the parameters |
D1 |
D1; set of code run points |
D2 |
D2; set of field observation points |
Returns a list of three elements:
y.toy |
|
z.toy |
|
d.toy |
Because function create.new.toy.datasets()
calls
computer.model()
and model.inadequacy()
, the datasets
returned are drawn from a multivariate Gaussian distribution which
is a Gaussian process
toys
, reality
, latin.hypercube
data(toys) create.new.toy.datasets(D1=D1.toy , D2=D2.toy)