build_model_table

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

build_model_table function

<dl><dt>ivs</dt>
<dd>character vector of variables</dd>
<dt>trans_df</dt>
<dd><code>data.frame</code> defining the non-linear transformations to apply</dd>
<dt>ts</dt>
<dd>boolean to specify if time-series or not</dd></dl>

Arguments

build_model_table — build_model_table

<dl>

<dt>ivs</dt>
<dd>character vector of variables</dd>


<dt>trans_df</dt>
<dd><code>data.frame</code> defining the non-linear transformations to apply</dd>


<dt>ts</dt>
<dd>boolean to specify if time-series or not</dd>

</dl>

build_model_table: build_model_table

Description

Usage

Value

Arguments

Details

Examples