STK_MODEL generates a model with default covariance parameters CALL: MODEL = stk_model () returns a structure MODEL (see below for a description of the fields in such a structure) corresponding to one-dimensional Gaussian process prior with a constant but unknown mean ("ordinary" kriging) and a stationary Matern covariance function. CALL: MODEL = stk_model (COVARIANCE_TYPE) uses the user-supplied COVARIANCE_TYPE instead of the default. CALL: MODEL = stk_model (COVARIANCE_TYPE, DIM) creates a DIM-dimensional model. Note that, for DIM > 1, anisotropic covariance functions are provided with default parameters that make them isotropic. In STK, a Gaussian process model is described by a 'model' structure, which has mandatory fields and optional fields. MANDATORY FIELDS: covariance_type, param, lm, lognoisevariance OPTIONAL FIELD: param_prior, noise_prior See also stk_materncov_iso, stk_materncov_aniso, ...
Package: stk