sparse.msglmm: Fit a sparse multivariate SGLMM.

In donaldmusgrove/ngspatial: Fitting the Centered Autologistic and Sparse Spatial Generalized Linear Mixed Models for Areal Data

Description

Fit a sparse multivariate SGLMM.

Usage

sparse.msglmm(family, Y, X, M, offset = NULL, Ntrials = NULL, beta0, Psi0,
  Sigma0, Delta0 = NULL, tau2e0 = NULL, tol, minit, maxit, tune = NULL,
  hyper, verbose = 0)

Arguments

X	the design matrix.
A	the adjacency matrix for the underlying graph. The matrix need not be binary, but it must be numeric and symmetric.
theta	the vector of parameter values: θ = (β', η)'.

Details

This function does things

Value

A vector that is distributed exactly according to the centered autologistic model with the given design matrix and parameter values.

donaldmusgrove/ngspatial documentation built on May 15, 2019, 10:37 a.m.