as_sparse_adjacency

Coerce/validate adjacency matrix as sparse with zero diagonal

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

as_sparse_adjacency function

<dl><dt>A</dt>
<dd>Square matrix-like object.</dd>
<dt>symmetrize</dt>
<dd>If TRUE, replace A by (A + t(A))/2.</dd>
<dt>check</dt>
<dd>If TRUE, validate shape/type and warn on common issues.</dd></dl>

Arguments

Coerce/validate adjacency matrix as sparse with zero diagonal — as_sparse_adjacency

<dl>

<dt>A</dt>
<dd>Square matrix-like object.</dd>


<dt>symmetrize</dt>
<dd>If TRUE, replace A by (A + t(A))/2.</dd>


<dt>check</dt>
<dd>If TRUE, validate shape/type and warn on common issues.</dd>

</dl>

as_sparse_adjacency: Coerce/validate adjacency matrix as sparse with zero diagonal

Description

Usage

Value

Arguments