endogenous

This function extracts data of a endogenous variable(s) from an estimated model.

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

endogenous function

<dl><dt>object</dt>
<dd>An object of class <code>ldt.estim</code>.</dd>
<dt>equations</dt>
<dd>A number, a numeric array or a string array specifying the indices or names of the endogenous variables in the equations. <code>NULL</code> means all equations.</dd>
<dt>...</dt>
<dd>Additional arguments.</dd></dl>

Arguments

Extract Endogenous Variable(s) Data — endogenous

<dl>

<dt>object</dt>
<dd>An object of class <code>ldt.estim</code>.</dd>


<dt>equations</dt>
<dd>A number, a numeric array or a string array specifying the indices or names of the endogenous variables in the equations. <code>NULL</code> means all equations.</dd>


<dt>...</dt>
<dd>Additional arguments.</dd>

</dl>

endogenous: Extract Endogenous Variable(s) Data

Description

Usage

Value

Arguments