Package: GauPro 0.2.12.9000

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, and 'Rcpp' has been used to speed up calculations. For more info about Gaussian process software, see Erickson et al. (2018) <doi:10.1016/j.ejor.2017.10.002>.

Authors:Collin Erickson

GauPro_0.2.12.9000.tar.gz
GauPro_0.2.12.9000.zip(r-4.5)GauPro_0.2.12.9000.zip(r-4.4)GauPro_0.2.12.9000.zip(r-4.3)
GauPro_0.2.12.9000.tgz(r-4.4-x86_64)GauPro_0.2.12.9000.tgz(r-4.4-arm64)GauPro_0.2.12.9000.tgz(r-4.3-x86_64)GauPro_0.2.12.9000.tgz(r-4.3-arm64)
GauPro_0.2.12.9000.tar.gz(r-4.5-noble)GauPro_0.2.12.9000.tar.gz(r-4.4-noble)
GauPro_0.2.12.9000.tgz(r-4.4-emscripten)GauPro_0.2.12.9000.tgz(r-4.3-emscripten)
GauPro.pdf |GauPro.html✨
GauPro/json (API)
NEWS

Peer review:

Bug tracker:https://github.com/collinerickson/gaupro/issues

On CRAN:

71 exports 16 stars 2.43 score 63 dependencies 1 dependents 1 mentions 105 scripts 334 downloads

Last updated 3 hours agofrom:5176fb80aa. Checks:OK: 7 NOTE: 2. Indexed: yes.

Exports:arma_mult_cube_veccorr_cubic_matrix_symCcorr_exponential_matrix_symCcorr_gauss_dCdXcorr_gauss_matrixcorr_gauss_matrix_armaCcorr_gauss_matrix_sym_armaCcorr_gauss_matrix_symCcorr_gauss_matrixCcorr_latentfactor_matrix_symCcorr_latentfactor_matrixmatrixCcorr_matern32_matrix_symCcorr_matern52_matrix_symCcorr_orderedfactor_matrix_symCcorr_orderedfactor_matrixmatrixCCubicExponentialFactorKernelGauProGauPro_baseGauPro_GaussGauPro_Gauss_LOOGauPro_kernel_modelGauPro_kernel_model_LOOGaussianGaussian_devianceCGaussian_hessianCGaussian_hessianCCGaussian_hessianRGowerFactorKernelgpkmgradfuncarraygradfuncarrayRIgnoreIndsKernelk_Cubick_Exponentialk_FactorKernelk_Gaussiank_GowerFactorKernelk_IgnoreIndsKernelk_LatentFactorKernelk_Matern32k_Matern52k_OrderedFactorKernelk_Periodick_PowerExpk_RatQuadk_Trianglek_Whitekernel_cubic_dCkernel_exponential_dCkernel_gauss_dCkernel_latentFactor_dCkernel_matern32_dCkernel_matern52_dCkernel_orderedFactor_dCkernel_productkernel_sumLatentFactorKernelMatern32Matern52OrderedFactorKernelPeriodicPowerExpRatQuadsqrt_matrixtrend_0trend_ctrend_LMTriangleWhite

Dependencies:base64encbslibcachemclicolorspacecpp11digestdplyrevaluatefansifarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhtmltoolsisobandjquerylibjsonliteknitrlabelinglatticelbfgslifecyclemagrittrMASSMatrixmemoisemgcvmimemixoptmunsellnlmenumDerivpillarpkgconfigpurrrR6rappdirsRColorBrewerRcppRcppArmadillorlangrmarkdownsassscalessplitfngrstringistringrtibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml