论文标题
SPNNGP R软件包，用于最近的邻居高斯过程模型
spNNGP R package for Nearest Neighbor Gaussian Process models
论文作者
论文摘要
本文描述并说明了SPNNGP R软件包的功能。该软件包为高斯和非高斯分点引用的结果提供了一套空间回归模型。该软件包实现了多个马尔可夫链蒙特卡洛（MCMC）和无MCMC最近的邻居高斯工艺（NNGP）模型，以推断大型空间数据。非高斯结果是使用NNGP polya-gamma潜伏变量建模的。提供OpenMP并行化选项以利用多处理器系统。使用模拟和真实的数据集说明了软件包功能。
This paper describes and illustrates functionality of the spNNGP R package. The package provides a suite of spatial regression models for Gaussian and non-Gaussian point-referenced outcomes that are spatially indexed. The package implements several Markov chain Monte Carlo (MCMC) and MCMC-free Nearest Neighbor Gaussian Process (NNGP) models for inference about large spatial data. Non-Gaussian outcomes are modeled using a NNGP Polya-Gamma latent variable. OpenMP parallelization options are provided to take advantage of multiprocessor systems. Package features are illustrated using simulated and real data sets.
