calculate_waic

Calculate WAIC function.
Has the sole argument component wise likelihood at thetahat samples.
v must be a matrix
Calculate the WAIC 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_waic function

<dl><dt>v</dt>
<dd>must be a N (MCMC) by n (data) sample size matrix
of the log-likelihood evaluations</dd></dl>

Arguments

Calculate WAIC  function.
Has the sole argument component wise likelihood at thetahat samples.
v must be a matrix
Calculate the WAIC criteria values — calculate_waic

<dl>

<dt>v</dt>
<dd>must be a N (MCMC) by n (data) sample size matrix
of the log-likelihood evaluations</dd>

</dl>

calculate_waic: Calculate WAIC function. Has the sole argument component wise likelihood at thetahat samples. v must be a matrix Calculate the WAIC criteria values

Description

Usage

Value

Arguments