update_beta_gaussian

Model:
 y | beta, x, sigma2 ~ N(X beta + x, sigma2 I)
 beta ~ N(b0, B0)

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

update_beta_gaussian function

<dl><dt>y</dt>
<dd>numeric length n</dd>
<dt>X</dt>
<dd>numeric n x p</dd>
<dt>x</dt>
<dd>numeric length n (latent effect)</dd>
<dt>sigma2</dt>
<dd>positive scalar</dd>
<dt>b0</dt>
<dd>numeric length p prior mean</dd>
<dt>B0</dt>
<dd>positive definite p x p prior covariance</dd></dl>

Arguments

Gibbs update for beta in y = X beta + x + eps — update_beta_gaussian

<dl>

<dt>y</dt>
<dd>numeric length n</dd>


<dt>X</dt>
<dd>numeric n x p</dd>


<dt>x</dt>
<dd>numeric length n (latent effect)</dd>


<dt>sigma2</dt>
<dd>positive scalar</dd>


<dt>b0</dt>
<dd>numeric length p prior mean</dd>


<dt>B0</dt>
<dd>positive definite p x p prior covariance</dd>

</dl>

update_beta_gaussian: Gibbs update for beta in y = X beta + x + eps

Description

Usage

Value

Arguments