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 graduately transitioning from Blue to Yellow to Red. |

GP.eigen.funcs.fast |
Compute 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.std.grids |
Compute the standardized grids |

GP.summary |
Summary of posterior inference on the Bayesian Gaussian process regression model |