get.data.check.discrete

For example, it checks if the endogenous variable in binary model is 0 and 1 (number of choices is 2)

Methods and tools for model selection and multi-model inference (Burnham and Anderson (2002) <doi:10.1007/b97636>, among others).
'SUR' (for parameter estimation), 'logit'/'probit' (for binary classification), and 'VARMA' (for time-series forecasting) are implemented.
Evaluations are both in-sample and out-of-sample.
It is designed to be efficient in terms of CPU usage and memory consumption.

Ramin Mojab

Automated Uncertainty Analysis

Stephen Becker

get.data.check.discrete function

<dl><dt>data</dt>
<dd>Output of get.data function</dd>
<dt>colIndex</dt>
<dd>The index of column to be checked.</dd></dl>

Arguments

Check if a column is discrete — get.data.check.discrete

<dl>

<dt>data</dt>
<dd>Output of get.data function</dd>


<dt>colIndex</dt>
<dd>The index of column to be checked.</dd>

</dl>

get.data.check.discrete: Check if a column is discrete

Description

Usage

Value

Arguments