| 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 |