Bayesian Analysis of Computer Code Output


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Documentation for package `approximator' version 1.0-28

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