*.GauPro_kernel         Kernel product
+.GauPro_kernel         Kernel sum
Cubic                   Cubic Kernel R6 class
Exponential             Exponential Kernel R6 class
FactorKernel            Factor Kernel R6 class
GauPro                  GauPro_selector
GauPro_Gauss            Corr Gauss GP using inherited optim
GauPro_Gauss_LOO        Corr Gauss GP using inherited optim
GauPro_base             Class providing object with methods for fitting
                        a GP model
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
IgnoreIndsKernel        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
RatQuad                 Rational Quadratic Kernel R6 class
Triangle                Triangle Kernel R6 class
White                   White noise Kernel R6 class
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_matrix_symC
                        Correlation Latent factor matrix in C
                        (symmetric)
corr_latentfactor_matrixmatrixC
                        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_matrix_symC
                        Correlation ordered factor matrix in C
                        (symmetric)
corr_orderedfactor_matrixmatrixC
                        Correlation ordered factor matrix in C
                        (symmetric)
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.
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
predict.GauPro          Predict for class GauPro
print.summary.GauPro    Print summary.GauPro
sqrt_matrix             Find the square root of a matrix
summary.GauPro          Summary for GauPro object
trend_0                 Trend R6 class
trend_LM                Trend R6 class
trend_c                 Trend R6 class
