Modeling Spatially Varying Coefficients

check_cov_lower | Check Lower Bound of Covariance Parameters |

coef.SVC_mle | Extact Mean Effects |

cov_par | Extact Covariance Parameters |

fitted.SVC_mle | Extact Model Fitted Values |

GLS_chol | GLS Estimate using Cholesky Factor |

house | Lucas County House Price Data |

IC.SVC_mle | Conditional Akaike's and Bayesian Information Criteria |

init_bounds_optim | Setting of Optimization Bounds and Initial Values |

logLik.SVC_mle | Extact the Likelihood |

nlocs | Extract Number of Unique Locations |

nobs.SVC_mle | Extract Number of Observations |

plot.SVC_mle | Plotting Residuals of 'SVC_mle' model |

predict.SVC_mle | Prediction of SVCs (and response variable) |

print.summary.SVC_mle | Printing Method for 'summary.SVC_mle' |

print.SVC_mle | Print Method for 'SVC_mle' |

residuals.SVC_mle | Extact Model Residuals |

sample_SVCdata | Sample Function for GP-based SVC Model for Given Locations |

summary.SVC_mle | Summary Method for 'SVC_mle' |

SVCdata | Sampled SVC Data |

SVC_mle | MLE of SVC model |

SVC_mle_control | Set Parameters for 'SVC_mle' |

SVC_selection | SVC Model Selection |

SVC_selection_control | SVC Selection Parameters |

varycoef | varycoef: Modeling Spatially Varying Coefficients |

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