gridnyspatial

<p>Values of three covariates for 100 grid locations in New York
averaged over the 62 days during the months of July and August, 2006.</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

gridnyspatial function

<p>An object of class <code>data.frame</code> with 100 rows and 8 columns.</p>

gridnyspatial: Values of three covariates for 100 grid locations in New York averaged over the 62 days during the months of July and August, 2006.

Description

Usage

Arguments

Format

References

Examples