GPBoost_algorithm           GPBoost algorithm: combining tree-boosting with Gaussian process and random effects models
classification_non_Gaussian_data           GPBoost algorithm for non-Gaussian data
parameter_tuning               Parameter tuning using deterministic or random grid search
boosting               Basic boosting walkthrough (without Gausssian process or random effects)
generalized_linear_Gaussian_process_mixed_effects_models           Generalized linear Gaussian process and mixed effects model examples for various likelihoods
examples_in_R_package_documentation           Examples used in the R package documentation
cross_validation               Cross validation function for finding the number of boosting iterations
Grabit               Grabit model of Sigrist and Hirnschall (2019)
