Weng

<p>A 313 by 313 proximity matrix for the 313 LADCUAS in England. Each entry is either 0 or 1 
and is 1 if the corresponding row and column LADCUAs share a common boundary.</p>

datasets

Fits, validates and compares a number of Bayesian models for
spatial and space time point referenced and areal unit data. Model fitting
is done using several packages: 'rstan', 'INLA', 'spBayes', 'spTimer',
'spTDyn', 'CARBayes' and 'CARBayesST'. Model comparison is performed using
the DIC and WAIC,  and K-fold cross-validation where the user is free
to select their own subset of data rows for validation. Sahu (2022)
<doi:10.1201/9780429318443> describes the methods in detail.

Sujit K. Sahu

bmstdr

Bayesian Modeling of Spatio-Temporal Data with R

Duncan P. Lee

K. Shuvo Bakar

Weng function

<p>An object of class <code>matrix</code> (inherits from <code>array</code>) with 313 rows and 313 columns.</p>

Format

A 313 by 313 proximity matrix for the 313 LADCUAS in England. Each entry is either 0 or 1 
and is 1 if the corresponding row and column LADCUAs share a common boundary. — Weng

A 313 by 313 proximity matrix for the 313 LADCUAS in England. Each entry is either 0 or 1 
and is 1 if the corresponding row and column LADCUAs share a common boundary.

Weng: A 313 by 313 proximity matrix for the 313 LADCUAS in England. Each entry is either 0 or 1 and is 1 if the corresponding row and column LADCUAs share a common boundary.

Description

Usage

Arguments

Format

References

Examples