icar.Q: Creates the inverse covariance matrix for an intrinsic...

In dsjohnson/stocc: Fit a Spatial Occupancy Model via Gibbs Sampling

Creates the inverse covariance matrix for an intrinsic conditionally autoregressive spatial model.

Description

This function creates the ICAR precision matrices used in the spatial models

Usage

icar.Q(xy, threshold, rho = 1, fun = FALSE)

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 <[e-mail]>

dsjohnson/stocc documentation built on Oct. 12, 2022, 2:20 a.m.