prep_speed

Produces a transformed response and metadata needed to back-transform.
Default transform is log(speed).

internal

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

prep_speed function

<dl><dt>speed</dt>
<dd>numeric vector (e.g., mph, km/h).</dd>
<dt>transform</dt>
<dd>character; currently supports "log" or "identity".</dd>
<dt>eps</dt>
<dd>small positive constant added before log to avoid log(0).</dd></dl>

Arguments

Prepare speed outcome for Gaussian modeling — prep_speed

<dl>

<dt>speed</dt>
<dd>numeric vector (e.g., mph, km/h).</dd>


<dt>transform</dt>
<dd>character; currently supports "log" or "identity".</dd>


<dt>eps</dt>
<dd>small positive constant added before log to avoid log(0).</dd>

</dl>

prep_speed: Prepare speed outcome for Gaussian modeling

Description

Usage

Value

Arguments