General Purpose Gaussian Process Modelling

Documentation for package ‘gplite’ version 0.13.0

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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