ppc_summary

Computes simple posterior predictive checks comparing observed
statistics to replicated data: mean, variance, and tail probabilities.

Tools for simulating and modeling traffic flow on road networks
using spatial conditional autoregressive (CAR) models. The package
represents road systems as graphs derived from 'OpenStreetMap' data
<https://www.openstreetmap.org/> and
supports network-based spatial dependence, basic preprocessing, and
visualization for spatial traffic analysis.

Madison Ell

trafficCAR

Bayesian CAR Models for Road-Segment Traffic

ppc_summary function

<dl><dt>fit</dt>
<dd>A `traffic_fit` object.</dd>
<dt>stats</dt>
<dd>Statistics to compute: "mean", "var", "tail".</dd>
<dt>probs</dt>
<dd>Tail probabilities for "tail" statistic.</dd></dl>

Arguments

Posterior predictive checks for trafficCAR fits — ppc_summary

<dl>

<dt>fit</dt>
<dd>A `traffic_fit` object.</dd>


<dt>stats</dt>
<dd>Statistics to compute: "mean", "var", "tail".</dd>


<dt>probs</dt>
<dd>Tail probabilities for "tail" statistic.</dd>

</dl>

ppc_summary: Posterior predictive checks for trafficCAR fits

Description

Usage

Value

Arguments