generate.eive.data

Generates simulated errors-in-variables regression data

Performs a compact genetic algorithm search to reduce errors-in-variables bias in linear regression. The algorithm estimates the regression parameters with lower biases and higher variances but mean-square errors (MSEs) are reduced.

Mehmet Satman

eive

An Algorithm for Reducing Errors-in-Variable Bias in Simple and
Multiple Linear Regressions

generate.eive.data function

<dl><dt>n</dt>
<dd>Number of observations</dd>
<dt>e.sd</dt>
<dd>Standard deviation of error term of regression</dd>
<dt>delta.sd</dt>
<dd>Standard deviation of error in exploratory variable</dd>
<dt>seed</dt>
<dd>Seed for random number generator. 12345 by default</dd>
<dt>useotherx</dt>
<dd>Logical. If TRUE, an additional independent variable is added.</dd></dl>

Arguments

<dl>
<dt><code>xdelta</code></dt>
<dd>Errorenous X variable</dd></dl>
<dt><code>otherx</code></dt>
<dd>Other X variable</dd>
<dt><code>y</code></dt>
<dd>Response variable</dd>

Slots

Generates simulated errors-in-variables regression data — generate.eive.data

<dl>

<dt>n</dt>
<dd>Number of observations</dd>


<dt>e.sd</dt>
<dd>Standard deviation of error term of regression</dd>


<dt>delta.sd</dt>
<dd>Standard deviation of error in exploratory variable</dd>


<dt>seed</dt>
<dd>Seed for random number generator. 12345 by default</dd>


<dt>useotherx</dt>
<dd>Logical. If TRUE, an additional independent variable is added.</dd>

</dl>

<dl>
<dt><code>xdelta</code></dt>
<dd>Errorenous X variable</dd>


<dt><code>otherx</code></dt>
<dd>Other X variable</dd>


<dt><code>y</code></dt>
<dd>Response variable</dd>


</dl>

generate.eive.data: Generates simulated errors-in-variables regression data

Description

Usage

Value

Arguments

Slots