getgrd: getgrd function
In bentaylor1/spatsurv: Bayesian Spatial Survival Analysis with Parametric Proportional Hazards Models
Description
Usage
Arguments
Value
References
Description
A function to create a regular grid over an observation window in order to model the spatial randome effects as a Gaussian
Markov random field.
Usage
1
getgrd(shape, cellwidth)
Arguments
shape
an object of class SpatialPolygons or SpatialPolygonsDataFrame
cellwidth
a scalar, the width of the grid cells
Value
a SpatialPolygons object: the grid on which prediction of the spatial effects will occur
References
Benjamin M. Taylor. Auxiliary Variable Markov Chain Monte Carlo for Spatial Survival and Geostatistical Models. Benjamin M. Taylor. Submitted. http://arxiv.org/abs/1501.01665
Finn Lindgren, Havard Rue, Johan Lindstrom. An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach. Journal of the Royal Statistical Society: Series B 73(4)
bentaylor1/spatsurv documentation built on May 12, 2019, 3:02 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Value References
Description
A function to create a regular grid over an observation window in order to model the spatial randome effects as a Gaussian Markov random field.
Usage
1 | getgrd(shape, cellwidth)
|
Arguments
shape |
an object of class SpatialPolygons or SpatialPolygonsDataFrame |
cellwidth |
a scalar, the width of the grid cells |
Value
a SpatialPolygons object: the grid on which prediction of the spatial effects will occur
References
Benjamin M. Taylor. Auxiliary Variable Markov Chain Monte Carlo for Spatial Survival and Geostatistical Models. Benjamin M. Taylor. Submitted. http://arxiv.org/abs/1501.01665
Finn Lindgren, Havard Rue, Johan Lindstrom. An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach. Journal of the Royal Statistical Society: Series B 73(4)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.