Man pages for approximator
Bayesian Prediction of Complex Computer Codes
| A | Matrix of correlations between two sets of points |
| approximator.package | Bayesian approximation of computer models when fast... |
| as.sublist | Converts a level one design matrix and a subsets object into... |
| basis.toy | Toy basis functions |
| betahat.app | Estimate for beta |
| c.fun | Correlations between points in parameter space |
| generate.toy.observations | Er, generate toy observations |
| genie | Genie datasets for approximator package |
| hdash.fun | Hdash |
| H.fun | The H matrix |
| hpa.fun.toy | Toy example of a hyperparameter object creation function |
| is.consistent | Checks observational data for consistency with a subsets... |
| mdash.fun | Mean of Gaussian process |
| object | Optimization of posterior likelihood of hyperparameters |
| Pi | Kennedy's Pi notation |
| subset_maker | Create a simple subset object |
| subsets.fun | Generate and test subsets |
| tee.fun | Returns generalized distances |
| toyapps | Toy datasets for approximator package |
| V.fun.app | Variance matrix |
