summary.bmstdr

Provides basic summaries of model fitting.

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

summary.bmstdr function

<dl><dt>object</dt>
<dd>A bmstdr model fit object.</dd>
<dt>digits</dt>
<dd>How many significant digits after the decimal to print, defaults to 3.</dd>
<dt>...</dt>
<dd>Any other additional arguments</dd></dl>

Arguments

Provides basic summaries of model fitting. — summary.bmstdr

<dl>

<dt>object</dt>
<dd>A bmstdr model fit object.</dd>


<dt>digits</dt>
<dd>How many significant digits after the decimal to print, defaults to 3.</dd>


<dt>...</dt>
<dd>Any other additional arguments</dd>

</dl>

summary.bmstdr: Provides basic summaries of model fitting.

Description

Usage

Value

Arguments