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 |