random_linear_forest-class

random_linear_forest
model class using a random forest of linear forest models

Intended to make the process of
analyzing epidemiological wastewater data easier and more insightful.
Includes tools for preparing, analyzing, and visualizing data. It
additionally includes Wisconsin's Covid19 data.

Marlin Lee

Covid19Wastewater

Prepare, Analyze, and Visualize Covid-19 Wastewater Data

Kyllan Wunder

Abe Megahed

random_linear_forest-class function

<dl>
<dt><code>formula</code></dt>
<dd>formula used to create trees and linear models</dd></dl>
<dt><code>models</code></dt>
<dd>list of each tree model in model</dd>
<dt><code>data</code></dt>
<dd>data.frame of the input data</dd>
<dt><code>resid</code></dt>
<dd>numeric vector of residuals</dd>
<dt><code>inbag_data</code></dt>
<dd>list of data.frame each model trained on</dd>
<dt><code>oob_data</code></dt>
<dd>list of data.frame containing info model not trained on</dd>
<dt><code>oob_resid</code></dt>
<dd>numeric vector of oob residuals</dd>
<dt><code>inc_mse</code></dt>
<dd>% increased mean squared error</dd>

Slots

random_linear_forest
model class using a random forest of linear forest models — random_linear_forest-class

<dl>
<dt><code>formula</code></dt>
<dd>formula used to create trees and linear models</dd>


<dt><code>models</code></dt>
<dd>list of each tree model in model</dd>


<dt><code>data</code></dt>
<dd>data.frame of the input data</dd>


<dt><code>resid</code></dt>
<dd>numeric vector of residuals</dd>


<dt><code>inbag_data</code></dt>
<dd>list of data.frame each model trained on</dd>


<dt><code>oob_data</code></dt>
<dd>list of data.frame containing info model not trained on</dd>


<dt><code>oob_resid</code></dt>
<dd>numeric vector of oob residuals</dd>


<dt><code>inc_mse</code></dt>
<dd>% increased mean squared error</dd>


</dl>

random_linear_forest-class: random_linear_forest model class using a random forest of linear forest models

Description

Arguments

Value

Slots

Examples