fig11.13.plot

Draws a time series (ribbon) plot by combining fitted and predicted 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

fig11.13.plot function

<dl><dt>yobs</dt>
<dd>A vector of the observed values</dd>
<dt>ylow</dt>
<dd>A vector of the lower limits of the fitted or predicted values</dd>
<dt>ymed</dt>
<dd>A vector of fitted or predicted values</dd>
<dt>yup</dt>
<dd>A vector of the upper limits of the fitted or predicted values</dd>
<dt>misst</dt>
<dd>An integer vector which contains the indices of the predicted
values</dd></dl>

Arguments

Draws a time series (ribbon) plot by combining fitted and predicted values — fig11.13.plot

<dl>

<dt>yobs</dt>
<dd>A vector of the observed values</dd>


<dt>ylow</dt>
<dd>A vector of the lower limits of the fitted or predicted values</dd>


<dt>ymed</dt>
<dd>A vector of fitted or predicted values</dd>


<dt>yup</dt>
<dd>A vector of the upper limits of the fitted or predicted values</dd>


<dt>misst</dt>
<dd>An integer vector which contains the indices of the predicted
values</dd>

</dl>

fig11.13.plot: Draws a time series (ribbon) plot by combining fitted and predicted values

Description

Usage

Value

Arguments