R: Scalable Gaussian Process Regression with Hierarchical Shrinkage Priors

# Scalable Gaussian Process Regression with Hierarchical Shrinkage Priors

## Documentation for package ‘shrinkGPR’ version 2.0.0

- DESCRIPTION file
- Package NEWS

## Help Pages

calc_pred_moments | Calculate Predictive Moments
eval_pred_dens | Evaluate Predictive Densities
gen_marginal_samples | Generate Marginal Samples of Predictive Distribution
gen_posterior_samples | Generate Posterior Samples
kernel_functions | Kernel Functions for Gaussian and t Processes
kernel_matern_12 | Kernel Functions for Gaussian and t Processes
kernel_matern_32 | Kernel Functions for Gaussian and t Processes
kernel_matern_52 | Kernel Functions for Gaussian and t Processes
kernel_se | Kernel Functions for Gaussian and t Processes
load_shrinkGPR | Load a saved shrinkGPR model object from disk
LPDS | Log Predictive Density Score
plot.shrinkGPR | Graphical summary of posterior of theta
plot.shrinkGPR_marg_samples_1D | Plot method for 1D marginal predictions
plot.shrinkGPR_marg_samples_2D | Plot method for 2D marginal predictions
plot.shrinkMVGPR | Graphical summary of posterior of theta
plot.shrinkTPR | Graphical summary of posterior of theta
predict.shrinkGPR | Generate Predictions
predict.shrinkMVGPR | Generate Predictions
predict.shrinkTPR | Generate Predictions
save_shrinkGPR | Save a fitted shrinkGPR model object to disk
shrinkGPR | Gaussian Process Regression with Shrinkage and Normalizing Flows
shrinkMVGPR | Multivariate Gaussian Process Regression with Shrinkage and Normalizing Flows
shrinkMVTPR | Multivariate Student-t Process Regression with Shrinkage and Normalizing Flows
shrinkTPR | Student-t Process Regression with Shrinkage and Normalizing Flows
simGPR | Simulate Data for Gaussian Process Regression
simMVGPR | Simulate Data for Multivariate Gaussian Process Regression
sylvester | Sylvester Normalizing Flow