get_predict

This function generates predictions from a model and calculates the errors between actual and predicted values, resulting in a dataframe containing the predicted values, actual values, and the residuals.

It streamlines the evaluation of regression model
assumptions, enhancing result reliability. With integrated tools for
assessing key aspects like linearity, homoscedasticity, and more. It's
a valuable asset for researchers and analysts working with regression
models.

Nicolás Rubio García

RegAssure

Streamlined Integration of Regression Assumption

get_predict function

<dl><dt>modelo</dt>
<dd>Fitted model object</dd>
<dt>datos</dt>
<dd>Data frame containing predictor variables.</dd>
<dt>real</dt>
<dd>Vector of actual response values.</dd>
<dt>n</dt>
<dd>Number of digits to round the columns. Default</dd></dl>

Arguments

Get Predictions and Errors — get_predict

<dl>

<dt>modelo</dt>
<dd>Fitted model object</dd>


<dt>datos</dt>
<dd>Data frame containing predictor variables.</dd>


<dt>real</dt>
<dd>Vector of actual response values.</dd>


<dt>n</dt>
<dd>Number of digits to round the columns. Default</dd>

</dl>

get_predict: Get Predictions and Errors

Description

Usage

Value

Arguments