文章基本信息

标题：lgcp: An R Package for Inference with Spatial and Spatio-Temporal Log-Gaussian Cox Processes
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作者：Benjamin M. Taylor ; Tilman M. Davies ; Barry S. Rowlingson 等
期刊名称：Journal of Statistical Software
印刷版ISSN：1548-7660
电子版ISSN：1548-7660
出版年度：2013
卷号：52
期号：1
页码：1-40
语种：English
出版社：University of California, Los Angeles
摘要：This paper introduces an R package for spatial and spatio-temporal prediction and forecasting for log-Gaussian Cox processes. The main computational tool for these models is Markov chain Monte Carlo (MCMC) and the new package, lgcp , therefore also provides an extensible suite of functions for implementing MCMC algorithms for processes of this type. The modeling framework and details of inferential procedures are first presented before a tour of lgcp functionality is given via a walk-through data-analysis. Topics covered include reading in and converting data, estimation of the key components and parameters of the model, specifying output and simulation quantities, computation of Monte Carlo expectations, post-processing and simulation of data sets.