Package: approximator 1.2-8

approximator: Bayesian Prediction of Complex Computer Codes

Performs Bayesian prediction of complex computer codes when fast approximations are available. It uses a hierarchical version of the Gaussian process, originally proposed by Kennedy and O'Hagan (2000), Biometrika 87(1):1.

Authors:Robin K. S. Hankin

approximator_1.2-8.tar.gz
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approximator.pdf |approximator.html
approximator/json (API)

# Install 'approximator' in R:
install.packages('approximator', repos = c('https://robinhankin.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/robinhankin/approximator/issues

Datasets:
  • D1.genie - Genie datasets for approximator package
  • D1.toy - Toy datasets for approximator package
  • betas.toy - Toy 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
  • subsets.genie - Genie datasets for approximator package
  • subsets.toy - Toy datasets for approximator package
  • z.genie - Genie datasets for approximator package
  • z.toy - Toy datasets for approximator package

On CRAN:

25 exports 0.95 score 2 dependencies 1 dependents 21 scripts 381 downloads

Last updated 1 years agofrom:17ae659c1b. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 17 2024
R-4.5-winOKSep 17 2024
R-4.5-linuxOKSep 17 2024
R-4.4-winOKSep 17 2024
R-4.4-macOKSep 17 2024
R-4.3-winOKSep 17 2024
R-4.3-macOKSep 17 2024

Exports:Afunas.sublistbasis.geniebasis.toybetahat.appbetahat.app.Hc_funcdash.fungenerate.toy.observationsH.fun.apphdash.funhpa.fun.geniehpa.fun.toyis.consistentis.nestedis.strictmdash.funobjectopt.1opt.gt.1Pisubset_makersubsets.funtee.funV.fun.app

Dependencies:emulatormvtnorm

Apprex: a cookbook for the approximator package

Rendered fromapprex.Rnwusingutils::Sweaveon Sep 17 2024.

Last update: 2023-08-22
Started: 2023-08-22