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 |