check_ts

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

check_ts function

<dl><dt>data</dt>
<dd>The dataframe containing the column specified</dd>
<dt>date_col</dt>
<dd>The date column name as a string</dd>
<dt>allow_non_num</dt>
<dd>A boolean to specify whether to include only date and numeric columns</dd>
<dt>verbose</dt>
<dd>A boolean to specify whether to print warnings</dd></dl>

Arguments

check_ts — check_ts

<dl>

<dt>data</dt>
<dd>The dataframe containing the column specified</dd>


<dt>date_col</dt>
<dd>The date column name as a string</dd>


<dt>allow_non_num</dt>
<dd>A boolean to specify whether to include only date and numeric columns</dd>


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

</dl>

check_ts: check_ts

Description

Usage

Value

Arguments

Details