Fits univariate and multivariate spatio-temporal
random effects models for point-referenced data using Markov chain Monte Carlo (MCMC). Details are given in Finley, Banerjee, and Gelfand (2015) <doi:10.18637/jss.v063.i13> and Finley, Banerjee, and Cook (2014) <doi:10.1111/2041-210X.12189>.

Univariate and Multivariate Spatial-Temporal Modeling

package-ubuntu-20.04-r-4.0.5#cran#spBayes-0.4-3

<p>Monthly temperature data (Celsius) recorded across the Northeastern US
starting in January 2000. Station UTM coordinates and elevation are also included.
</p>

<p>A data frame containing 356 rows (weather stations) and 132 columns. 
</p>

package-ubuntu-20.04-r-4.0.5#cran#spBayes-0.4-3#docs#NETemp.dat

NETemp.dat

Description

Usage

Format

spBayes

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