*.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 |