R: General Purpose Gaussian Process Modelling

# General Purpose Gaussian Process Modelling

## Documentation for package ‘gplite’ version 0.13.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

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