Gaussian Process Fitting


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Documentation for package ‘GauPro’ version 0.2.12

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*.GauPro_kernel Kernel product
+.GauPro_kernel Kernel sum
arma_mult_cube_vec Cube multiply over first dimension
corr_cubic_matrix_symC Correlation Cubic matrix in C (symmetric)
corr_exponential_matrix_symC Correlation Gaussian matrix in C (symmetric)
corr_gauss_dCdX Correlation Gaussian matrix gradient in C using Armadillo
corr_gauss_matrix Gaussian correlation
corr_gauss_matrixC Correlation Gaussian matrix in C using Rcpp
corr_gauss_matrix_armaC Correlation Gaussian matrix in C using Armadillo
corr_gauss_matrix_symC Correlation Gaussian matrix in C (symmetric)
corr_gauss_matrix_sym_armaC Correlation Gaussian matrix in C using Armadillo (symmetric)
corr_latentfactor_matrixmatrixC Correlation Latent factor matrix in C (symmetric)
corr_latentfactor_matrix_symC Correlation Latent factor matrix in C (symmetric)
corr_matern32_matrix_symC Correlation Matern 3/2 matrix in C (symmetric)
corr_matern52_matrix_symC Correlation Gaussian matrix in C (symmetric)
corr_orderedfactor_matrixmatrixC Correlation ordered factor matrix in C (symmetric)
corr_orderedfactor_matrix_symC Correlation ordered factor matrix in C (symmetric)
Cubic Cubic Kernel R6 class
Exponential Exponential Kernel R6 class
FactorKernel Factor Kernel R6 class
GauPro GauPro_selector
GauPro_base Class providing object with methods for fitting a GP model
GauPro_Gauss Corr Gauss GP using inherited optim
GauPro_Gauss_LOO Corr Gauss GP using inherited optim
GauPro_kernel Kernel R6 class
GauPro_kernel_beta Beta Kernel R6 class
GauPro_kernel_model Gaussian process model with kernel
GauPro_kernel_model_LOO Corr Gauss GP using inherited optim
GauPro_trend Trend R6 class
Gaussian Gaussian Kernel R6 class
Gaussian_devianceC Calculate the Gaussian deviance in C
Gaussian_hessianC Calculate Hessian for a GP with Gaussian correlation
Gaussian_hessianCC Gaussian hessian in C
Gaussian_hessianR Calculate Hessian for a GP with Gaussian correlation
GowerFactorKernel Gower factor Kernel R6 class
gpkm Gaussian process regression model
gradfuncarray Calculate gradfunc in optimization to speed up. NEEDS TO APERM dC_dparams Doesn't need to be exported, should only be useful in functions.
gradfuncarrayR Calculate gradfunc in optimization to speed up. NEEDS TO APERM dC_dparams Doesn't need to be exported, should only be useful in functions.
IgnoreIndsKernel Kernel R6 class
kernel_cubic_dC Derivative of cubic kernel covariance matrix in C
kernel_exponential_dC Derivative of Matern 5/2 kernel covariance matrix in C
kernel_gauss_dC Derivative of Gaussian kernel covariance matrix in C
kernel_latentFactor_dC Derivative of covariance matrix of X with respect to kernel parameters for the Latent Factor Kernel
kernel_matern32_dC Derivative of Matern 5/2 kernel covariance matrix in C
kernel_matern52_dC Derivative of Matern 5/2 kernel covariance matrix in C
kernel_orderedFactor_dC Derivative of covariance matrix of X with respect to kernel parameters for the Ordered Factor Kernel
kernel_product Gaussian Kernel R6 class
kernel_sum Gaussian Kernel R6 class
k_Cubic Cubic Kernel R6 class
k_Exponential Exponential Kernel R6 class
k_FactorKernel Factor Kernel R6 class
k_Gaussian Gaussian Kernel R6 class
k_GowerFactorKernel Gower factor Kernel R6 class
k_IgnoreIndsKernel Kernel R6 class
k_LatentFactorKernel Latent Factor Kernel R6 class
k_Matern32 Matern 3/2 Kernel R6 class
k_Matern52 Matern 5/2 Kernel R6 class
k_OrderedFactorKernel Ordered Factor Kernel R6 class
k_Periodic Periodic Kernel R6 class
k_PowerExp Power Exponential Kernel R6 class
k_RatQuad Rational Quadratic Kernel R6 class
k_Triangle Triangle Kernel R6 class
k_White White noise Kernel R6 class
LatentFactorKernel Latent Factor Kernel R6 class
Matern32 Matern 3/2 Kernel R6 class
Matern52 Matern 5/2 Kernel R6 class
OrderedFactorKernel Ordered Factor Kernel R6 class
Periodic Periodic Kernel R6 class
PowerExp Power Exponential Kernel R6 class
predict.GauPro Predict for class GauPro
print.summary.GauPro Print summary.GauPro
RatQuad Rational Quadratic Kernel R6 class
sqrt_matrix Find the square root of a matrix
summary.GauPro Summary for GauPro object
trend_0 Trend R6 class
trend_c Trend R6 class
trend_LM Trend R6 class
Triangle Triangle Kernel R6 class
White White noise Kernel R6 class