GauPro: Gaussian Process Fitting

Fits a Gaussian process model to data. Gaussian processes are commonly used in computer experiments to fit an interpolating model. The model is stored as an 'R6' object and can be easily updated with new data. There are options to run in parallel (not for Windows), and 'Rcpp' has been used to speed up calculations. Other R packages that perform similar calculations include 'laGP', 'DiceKriging', 'GPfit', and 'mlegp'.

AuthorCollin Erickson
Date of publication2016-10-12 00:39:56
MaintainerCollin Erickson <collinberickson@gmail.com>
LicenseGPL-3
Version0.1.0

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Files in this package

GauPro
GauPro/tests
GauPro/tests/testthat.R
GauPro/tests/testthat
GauPro/tests/testthat/test_1D.R
GauPro/src
GauPro/src/Makevars
GauPro/src/armadillotest.cpp
GauPro/src/deviance_grad.cpp
GauPro/src/deviance.cpp
GauPro/src/deviance_fngr.cpp
GauPro/src/pred_mean.cpp
GauPro/src/Makevars.win
GauPro/src/RcppExports.cpp
GauPro/src/corr_gauss_matrix.cpp
GauPro/src/armadillotest2.cpp
GauPro/src/hello_world.cpp
GauPro/NAMESPACE
GauPro/NEWS.md
GauPro/R
GauPro/R/corr.R GauPro/R/GauPro.R GauPro/R/RcppExports.R GauPro/R/grad_share.R
GauPro/README.md
GauPro/MD5
GauPro/DESCRIPTION
GauPro/man
GauPro/man/GauPro.Rd GauPro/man/corr_gauss_matrix.Rd

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