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approximator  

Bayesian Prediction of Complex Computer Codes
View on CRAN: Click here


Download and install approximator package within the R console
Install from CRAN:
install.packages("approximator")

Install from Github:
library("remotes")
install_github("cran/approximator")

Install by package version:
library("remotes")
install_version("approximator", "1.2-8")



Attach the package and use:
library("approximator")
Maintained by
Robin K. S. Hankin
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2009-07-18
Latest Update: 2023-08-24
Description:
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.
How to cite:
Robin K. S. Hankin (2009). approximator: Bayesian Prediction of Complex Computer Codes. R package version 1.2-8, https://cran.r-project.org/web/packages/approximator. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.1-5 (2009-07-18 17:35), 1.1-6 (2009-10-16 16:05), 1.2-2 (2011-03-18 08:31), 1.2-6 (2013-12-08 23:07), 1.2-7 (2018-08-29 06:24)
Other packages that cited approximator R package
View approximator citation profile
Other R packages that approximator depends, imports, suggests or enhances
Complete documentation for approximator
Functions, R codes and Examples using the approximator R package
Some associated functions: A . H.fun . Pi . V.fun.app . approximator.package . as.sublist . basis.toy . betahat.app . c.fun . generate.toyservations . genie . hdash.fun . hpa.fun.toy . is.consistent . mdash.fun . object . subset_maker . subsets.fun . tee.fun . toyapps . 
Some associated R codes: approximator.R .  Full approximator package functions and examples
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