Published by the Foundation for Open Access Statistics
Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
spatsurv: An R Package for Bayesian Inference with Spatial Survival Models | Taylor | Journal of Statistical Software
Authors: Benjamin M. Taylor, Barry S. Rowlingson
Title: spatsurv: An R Package for Bayesian Inference with Spatial Survival Models
Abstract: Survival methods are used for the statistical modelling of time-to-event data. Survival data are characterized by a set of complete records, in which the time of the event is known; and a set of censored records, in which the event was known to have occurred in an interval. When survival data are spatially referenced, the spatial variation in survival times may be of scientific interest. In this article, we introduce a new R package, spatsurv, for inference with spatially referenced survival data. The specific type of model fitted by this package is a parametric proportional hazards model in which the spatially correlated frailties are modelled by a log-Gaussian stochastic process. The package is extensible in that it allows the user to easily create new models for the baseline hazard function and spatial covariance function. The package implements an advanced adaptive Markov chain Monte Carlo algorithm to deliver Bayesian inference with minimal input from the user. A particular feature of the new package is the ability to handle large datasets via the use of auxiliary frailties on a regular grid and the technique of circulant embedding for fast matrix computations. We demonstrate the new package on a real-life dataset.

Page views:: 1422. Submitted: 2014-07-22. Published: 2017-03-31.
Paper: spatsurv: An R Package for Bayesian Inference with Spatial Survival Models     Download PDF (Downloads: 485)
Supplements:
spatsurv_1.1.tar.gz: R source package Download (Downloads: 41; 348KB)
v77i04.R: R replication code Download (Downloads: 50; 11KB)
v77i04-simulation.zip: Simulation study replication materials Download (Downloads: 40; 4KB)

DOI: 10.18637/jss.v077.i04

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.