R: Bayesian Prediction of Complex Computer Codes

# Bayesian Prediction of Complex Computer Codes

## Documentation for package ‘approximator’ version 1.2-8

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

approximator-package | Bayesian approximation of computer models when fast approximations are available
Afun | 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.genie | Genie datasets for approximator package
basis.toy | Toy basis functions
betahat.app | Estimate for beta
betahat.app.H | Estimate for beta
betas.toy | Toy datasets for approximator package
c.fun | Correlations between points in parameter space
cdash.fun | Correlations between points in parameter space
c_fun | Correlations between points in parameter space
D1.genie | Genie datasets for approximator package
D1.toy | Toy datasets for approximator package
generate.toy.observations | Er, generate toy observations
Genie | Genie datasets for approximator package
genie | Genie datasets for approximator package
H.fun.app | The H matrix
hdash.fun | Hdash
hpa.fun.genie | Genie datasets for approximator package
hpa.fun.toy | Toy example of a hyperparameter object creation function
hpa.genie | Genie datasets for approximator package
hpa.genie.optimal | Genie datasets for approximator package
hpa.genie.start | Genie datasets for approximator package
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.genie | Genie datasets for approximator package
subsets.toy | Toy datasets for approximator package
subset_maker | Create a simple subset object
tee.fun | Returns generalized distances
V.fun.app | Variance matrix
z.genie | Genie datasets for approximator package
z.toy | Toy datasets for approximator package