icar.Q: Creates the inverse covariance matrix for an intrinsic...
In stocc: Fit a Spatial Occupancy Model via Gibbs Sampling
Description
Usage
Arguments
Details
Value
Author(s)
Description
This function creates the ICAR precision matrices used in the spatial models
Usage
1
Arguments
xy
An n x 2 matrix of spatial coordinates
threshold
Distance threshold for neighborhood definition
rho
The autoregressive parameter. Defaults to 1, which is the
Intrinsic Conditionally AutoRegressive model (ICAR)
fun
If TRUE this function returns a function of rho that generates the precision matrix of a ICAR process
Details
Constructs the inverse covariance matrix (aside from scaling) for the ICAR
model
Value
An n x n matrix
Author(s)
Devin S. Johnson <devin.johnson@noaa.gov>
stocc documentation built on May 12, 2021, 1:08 a.m.
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Description Usage Arguments Details Value Author(s)
Description
This function creates the ICAR precision matrices used in the spatial models
Usage
1 |
Arguments
xy |
An n x 2 matrix of spatial coordinates |
threshold |
Distance threshold for neighborhood definition |
rho |
The autoregressive parameter. Defaults to 1, which is the Intrinsic Conditionally AutoRegressive model (ICAR) |
fun |
If |
Details
Constructs the inverse covariance matrix (aside from scaling) for the ICAR model
Value
An n x n matrix
Author(s)
Devin S. Johnson <devin.johnson@noaa.gov>
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.
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