filter_decomp_pool

Filter a model's decomposition based on a given pool.

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

filter_decomp_pool function

<dl><dt>decomp</dt>
<dd>A <code>list</code> of <code>data.frame</code> from a model object or generated using <code>decomping</code>.</dd>
<dt>pool</dt>
<dd>A string representing the variable name of the pool variable.</dd>
<dt>verbose</dt>
<dd>A boolean to specify whether to print warnings</dd></dl>

Arguments

filter_decomp_pool — filter_decomp_pool

<dl>

<dt>decomp</dt>
<dd>A <code>list</code> of <code>data.frame</code> from a model object or generated using <code>decomping</code>.</dd>


<dt>pool</dt>
<dd>A string representing the variable name of the pool variable.</dd>


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

</dl>

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filter_decomp_pool: filter_decomp_pool

Description

Usage

Value

Arguments

Details