Bayesian Analysis of Computer Code Output

Documentation for package `approximator' version 1.0-28

approximator-package	Bayesian approximation of computer models when fast approximations are available
A	Matrix of correlations between two sets of points
approximator	Bayesian approximation of computer models when fast approximations are available
as.sublist	Converts a level one design matrix and a subsets object into a list of design matrices, one for each level
basis.toy	Toy basis functions
betahat.app	Estimate for beta
betas.toy	Toy example of coefficients beta
c.fun	Correlations between points in parameter space
cdash.fun	Correlations between points in parameter space
D1.toy	Toy datasets for approximator package
generate.toy.observations	Er, generate toy observations
H.fun.app	The H matrix
hdash.fun	Hdash
hpa.fun.toy	Toy example of a hyperparameter object creation function
hpa.toy	Toy datasets for approximator package
is.consistent	Checks observational data for consistency with a subsets object
is.nested	Generate and test subsets
is.strict	Generate and test subsets
mdash.fun	Mean of Gaussian process
object	Optimization of posterior likelihood of hyperparameters
opt.1	Optimization of posterior likelihood of hyperparameters
opt.gt.1	Optimization of posterior likelihood of hyperparameters
Pi	Kennedy's Pi notation
subsets.fun	Generate and test subsets
subsets.toy	Toy datasets for approximator package
tee.fun	Returns generalized distances
V.fun	Variance matrix
z.toy	Toy datasets for approximator package