make_xb

This function calculates predicted x values based on regression coefficients.
The results of this function can be passed to other <code>sim_*()</code> functions.

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

make_xb function

<dl><dt>x</dt>
<dd>a <code>data.frame</code> of independent variables generated with <code>make_x()</code>.</dd>
<dt>beta</dt>
<dd>a vector of the beta coefficients for each of the variables. There must be
<code>ncol(x) + 1</code> values. The first element of the vector is the intercept.</dd></dl>

Arguments

Calculate predicted X values based on coefficients — make_xb

<dl>

<dt>x</dt>
<dd>a <code>data.frame</code> of independent variables generated with <code>make_x()</code>.</dd>


<dt>beta</dt>
<dd>a vector of the beta coefficients for each of the variables. There must be
<code>ncol(x) + 1</code> values. The first element of the vector is the intercept.</dd>

</dl>

make_xb: Calculate predicted X values based on coefficients

Description

Usage

Value

Arguments

Examples