calculate_dic

Calculate DIC function.
Has two arguments: (1) log full likelihood at thetahat and (2) vector of log-likelihood at the theta samples
Calculate the DIC criteria values

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

calculate_dic function

<dl><dt>loglikatthetahat</dt>
<dd>Log of the likelihood function at theta hat (Bayes). It is a scalar value.</dd>
<dt>logliks</dt>
<dd>A vector of log likelihood values at the theta samples</dd></dl>

Arguments

Calculate DIC function.
Has two arguments: (1) log full likelihood at thetahat and (2) vector of log-likelihood at the theta samples
Calculate the DIC criteria values — calculate_dic

<dl>

<dt>loglikatthetahat</dt>
<dd>Log of the likelihood function at theta hat (Bayes). It is a scalar value.</dd>


<dt>logliks</dt>
<dd>A vector of log likelihood values at the theta samples</dd>

</dl>

Calculate DIC function.
Has two arguments: (1) log full likelihood at thetahat and (2) vector of log-likelihood at the theta samples
Calculate the DIC criteria values

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calculate_dic: Calculate DIC function. Has two arguments: (1) log full likelihood at thetahat and (2) vector of log-likelihood at the theta samples Calculate the DIC criteria values

Description

Usage

Value

Arguments