decomping

Variable decomposition of linear regression

An interface to accelerate linear regression (Ordinary least squares) modelling, which
allows users to build models quickly, while automatically generating interactive visualizations of the results.
Non-linear models specification (e.g. y = b1*x1 + b2*log(x2)) can be easily constructed using user-defined transformations.
Functions for testing wide ranges of model specifications (e.g. y = b*log(x,10) , y = b*log(x,20) , ...), all at once, are also available.
Finally, models can be imported and exported as Excel files where all the information necessary for re-running the models is stored in separate sheets.

Claudio Paladini

linea

Linear Regression Interface

decomping function

<dl><dt>model</dt>
<dd>Model object</dd>
<dt>de_normalise</dt>
<dd>A boolean to specify whether to apply the normalisation</dd>
<dt>categories</dt>
<dd><code>data.frame</code> mapping variables to groups</dd>
<dt>tail_window</dt>
<dd>for time series, length of tail</dd>
<dt>verbose</dt>
<dd>A boolean to specify whether to print warnings</dd></dl>

Arguments

decomping — decomping

<dl>

<dt>model</dt>
<dd>Model object</dd>


<dt>de_normalise</dt>
<dd>A boolean to specify whether to apply the normalisation</dd>


<dt>categories</dt>
<dd><code>data.frame</code> mapping variables to groups</dd>


<dt>tail_window</dt>
<dd>for time series, length of tail</dd>


<dt>verbose</dt>
<dd>A boolean to specify whether to print warnings</dd>

</dl>

decomping: decomping

Description

Usage

Value

Arguments

Details

Examples