vcov.sparse.sglmm

<p>a fitted <code>sparse.sglmm</code> model object.</p>

object

&#8230;

<p>Return the covariance matrix of the regression parameters of a <code>sparse.sglmm</code> model object.</p>

Provides tools for analyzing spatial data, especially non-
Gaussian areal data. The current version supports the sparse restricted
spatial regression model of Hughes and Haran (2013) <DOI:10.1111/j.1467-9868.2012.01041.x>,
the centered autologistic model of Caragea and Kaiser (2009) <DOI:10.1198/jabes.2009.07032>,
and the Bayesian spatial filtering model of Hughes (2017) <arXiv:1706.04651>.

vcov.sparse.sglmm: Return the covariance matrix of the regression parameters of a `sparse.sglmm` model object.

Description

Usage

Arguments

Value