sim_gns

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_gns 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>wxg</dt>
<dd>predicted spatial lag effect as calculated by <code>make_wxg()</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>
<dt>lambda</dt>
<dd>a value value between -1 and 1. The spatial autoregressive coefficient for the error term.</dd>
<dt>model</dt>
<dd>default <code>"sar"</code>. Which model should be simulated. Provide <code>"ma"</code> for the moving average.</dd></dl>

Arguments

Simulate General Nested Model — sim_gns

<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>wxg</dt>
<dd>predicted spatial lag effect as calculated by <code>make_wxg()</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>


<dt>lambda</dt>
<dd>a value value between -1 and 1. The spatial autoregressive coefficient for the error term.</dd>


<dt>model</dt>
<dd>default <code>"sar"</code>. Which model should be simulated. Provide <code>"ma"</code> for the moving average.</dd>

</dl>

sim_gns: Simulate General Nested Model

Description

Usage

Value

Arguments

References