print.spDiag

Methods for extracting information from <code>spDiag</code>.

model

Fits univariate Bayesian spatial regression models for large datasets using Nearest Neighbor Gaussian Processes (NNGP) detailed in Finley, Datta, Banerjee (2022) <doi:10.18637/jss.v103.i05>, Finley, Datta, Cook, Morton, Andersen, and Banerjee (2019) <doi:10.1080/10618600.2018.1537924>, and Datta, Banerjee, Finley, and Gelfand (2016) <doi:10.1080/01621459.2015.1044091>.

Andrew Finley

spNNGP

Spatial Regression Models for Large Datasets using Nearest
Neighbor Gaussian Processes

Abhirup Datta

Sudipto Banerjee

print.spDiag function

<dl> <dt>x</dt>
<dd>object of class <code>spDiag</code>.</dd> <dt>...</dt>
<dd>currently not used.</dd></dl>

Arguments

Methods for spDiag Object — print.spDiag

<dl>

 <dt>x</dt>
<dd>object of class <code>spDiag</code>.</dd>

 <dt>...</dt>
<dd>currently not used.</dd>

</dl>

print.spDiag: Methods for spDiag Object

Description

Usage

Arguments

Details