STK_EXAMPLE_KB02 Ordinary kriging in 1D with parameter estimation This example shows how to estimate covariance parameters and compute ordinary kriging predictions on a one-dimensional noiseless dataset. The model and data are the same as in stk_example_kb01, but this time the parameters of the covariance function are estimated using the Restricted Maximum Likelihood (ReML) method. See also: stk_example_kb01, stk_example_kb02n
Package: stk