Learn R Programming

ngspatial (version 1.2-2)

Fitting the Centered Autologistic and Sparse Spatial Generalized Linear Mixed Models for Areal Data

Description

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) , the centered autologistic model of Caragea and Kaiser (2009) , and the Bayesian spatial filtering model of Hughes (2017) .

Copy Link

Version

Install

install.packages('ngspatial')

Monthly Downloads

281

Version

1.2-2

License

GPL (>= 2)

Maintainer

John Hughes

Last Published

May 8th, 2020

Functions in ngspatial (1.2-2)

summary.sparse.sglmm

Print a summary of a sparse SGLMM fit.
summary.autologistic

Print a summary of a centered autologistic model fit.
vcov.autologistic

Return the estimated covariance matrix for an autologistic model object.
vcov.sparse.sglmm

Return the covariance matrix of the regression parameters of a sparse.sglmm model object.
rautologistic

Return a perfect sample from a centered autologistic model.
negbinomial

Family function for negative binomial GLMs.
residuals.autologistic

Extract model residuals.
autologistic

Fit a centered autologistic model using maximum pseudolikelihood estimation or MCMC for Bayesian inference.
A

Adjacency matrix for the infant mortality data.
sparse.sglmm

Fit a sparse SGLMM.
adjacency.matrix

Return an adjacency matrix for a square lattice.
residuals.sparse.sglmm

Extract model residuals.
infant

Infant mortality data.