nysptime

<p>Daily 8-hour maximum ozone concentration values and three covariates from 28 sites in New York for
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

nysptime function

<p>An object of class <code>data.frame</code> with 1736 rows and 12 columns.</p>

Format

Daily 8-hour maximum ozone concentration values and three covariates from 28 sites in New York for
the 62 days during the months of July and August, 2006. — nysptime

Daily 8-hour maximum ozone concentration values and three covariates from 28 sites in New York for
the 62 days during the months of July and August, 2006.

nysptime: Daily 8-hour maximum ozone concentration values and three covariates from 28 sites in New York for the 62 days during the months of July and August, 2006.

Description

Usage

Arguments

Format

References

Examples