sim_mess

Simiulate Matrix Exponential Spatial Lag Model

Provides functionality for simulating data generation processes across various spatial regression models, conceptually aligned with the 'dgp' module of the 'Python' library 'spreg' <https://pysal.org/spreg/api.html#dgp>.

Wenbo Lv

spdgp

Simulate Spatial Data Generation Processes

Josiah Parry

Edzer Pebesma

sim_mess function

<dl><dt>u</dt>
<dd>an error vector</dd>
<dt>xb</dt>
<dd>predicted x values as calculated by <code>make_xb()</code></dd>
<dt>listw</dt>
<dd>a <code>listw</code> object generated with <code>sim_grid_listw()</code>.</dd>
<dt>rho</dt>
<dd>the spatial autoregressive coefficient for the spatially lagged dependent variable.</dd></dl>

Arguments

Simiulate Matrix Exponential Spatial Lag Model — sim_mess

<dl>

<dt>u</dt>
<dd>an error vector</dd>


<dt>xb</dt>
<dd>predicted x values as calculated by <code>make_xb()</code></dd>


<dt>listw</dt>
<dd>a <code>listw</code> object generated with <code>sim_grid_listw()</code>.</dd>


<dt>rho</dt>
<dd>the spatial autoregressive coefficient for the spatially lagged dependent variable.</dd>

</dl>

sim_mess: Simiulate Matrix Exponential Spatial Lag Model

Description

Usage

Value

Arguments

References