| gplite-package | The 'gplite' package. | 
| *.cf | Initialize covariance function | 
| approx | Approximations to the posterior of the latent values | 
| approx_ep | Approximations to the posterior of the latent values | 
| approx_laplace | Approximations to the posterior of the latent values | 
| cf | Initialize covariance function | 
| cf_const | Initialize covariance function | 
| cf_lin | Initialize covariance function | 
| cf_matern32 | Initialize covariance function | 
| cf_matern52 | Initialize covariance function | 
| cf_nn | Initialize covariance function | 
| cf_periodic | Initialize covariance function | 
| cf_prod | Initialize covariance function | 
| cf_sexp | Initialize covariance function | 
| get_param | Get or set GP model parameters | 
| gplite | The 'gplite' package. | 
| gp_compare | Model assessment and comparison | 
| gp_draw | Make predictions with a GP model | 
| gp_energy | Energy of a GP model | 
| gp_fit | Fit a GP model | 
| gp_init | Initialize a GP model | 
| gp_load | Save and load a GP model | 
| gp_loo | Model assessment and comparison | 
| gp_optim | Optimize hyperparameters of a GP model | 
| gp_pred | Make predictions with a GP model | 
| gp_save | Save and load a GP model | 
| gp_saveload | Save and load a GP model | 
| lik | Initialize likelihood | 
| lik_bernoulli | Initialize likelihood | 
| lik_betabinom | Initialize likelihood | 
| lik_binomial | Initialize likelihood | 
| lik_gaussian | Initialize likelihood | 
| lik_poisson | Initialize likelihood | 
| method | Initialize method or type of the model | 
| method_fitc | Initialize method or type of the model | 
| method_full | Initialize method or type of the model | 
| method_rf | Initialize method or type of the model | 
| param | Get or set GP model parameters | 
| pred | Make predictions with a GP model | 
| priors | Initialize prior for hyperparameter | 
| prior_fixed | Initialize prior for hyperparameter | 
| prior_half_t | Initialize prior for hyperparameter | 
| prior_lognormal | Initialize prior for hyperparameter | 
| prior_logunif | Initialize prior for hyperparameter | 
| set_param | Get or set GP model parameters |