GP.Bayes.fit            Regular Bayesian fitting of Gaussian process
                        regression on regular grid points with the
                        modified exponential sqaured kernel.
GP.create.cols          Create 256 colors gradually transitioning from
                        Blue to Yellow to Red.
GP.eigen.funcs.fast     Compute eigen functions
GP.eigen.funcs.fast.orth
                        Create orthogonal eigen functions
GP.eigen.value          Compute eigen values for the standard modified
                        exponential squared correlation kernel.
GP.fast.Bayes.fit       Fast Bayesian fitting of Gaussian process
GP.generate.grids       Create spatial grids.
GP.plot.curve           Graphical representation of one, two,
                        three-dimensional curves
GP.plot.curves          Graphical representation of multiple curves in
                        one and two-dimensional curves
GP.predict              Gaussian process predictions
GP.simulate.curve.fast
                        Simulate curve on d-dimensional Euclidean space
                        based on Gaussian processes via modified
                        exponential squared kernel.
GP.simulate.curves.fast
                        Simulate multiple curves on d-dimensional
                        Euclidean space based on Gaussian processes via
                        modified exponential squared kernel.
GP.std.grids            Compute the standardized grids
GP.summary              Summary of posterior inference on the Bayesian
                        Gaussian process regression model
