dpm-class

Models fit using <code>dpm()</code> return values of this class, which
inherits from <code>lavaan-class</code>.

Implements the dynamic panel models described by Allison, Williams,
and Moral-Benito (2017 <doi:10.1177/2378023117710578>) in R.
This class of models uses structural equation modeling to specify dynamic
(lagged dependent variable) models with fixed effects for panel data.
Additionally, models may have predictors that are only weakly exogenous, i.e.,
are affected by prior values of the dependent variable. Options also allow for
random effects, dropping the lagged dependent variable, and a number of other
specification choices.

Jacob A. Long

Dynamic Panel Models Fit with Maximum Likelihood

dpm-class function

<dl>
<dt><code>call_info</code></dt>
<dd>A list of metadata about the arguments used.</dd></dl>
<dt><code>call</code></dt>
<dd>The actual function call.</dd>
<dt><code>mod_string</code></dt>
<dd>The model formula passed to <code>lavaan</code>.</dd>
<dt><code>wide_data</code></dt>
<dd>The data provided to the <code>data</code> argument in the function</dd>
<dt><code>formula</code></dt>
<dd>The <code><a href="/link/Formula%3A%3AFormula()?package=dpm&version=1.2.0" data-mini-rdoc="dpm::Formula::Formula()">Formula::Formula()</a></code> object provided to <code>dpm()</code>.
call.</dd>

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Dynamic Panel Model (dpm) class — dpm-class

<dl>
<dt><code>call_info</code></dt>
<dd>A list of metadata about the arguments used.</dd>


<dt><code>call</code></dt>
<dd>The actual function call.</dd>


<dt><code>mod_string</code></dt>
<dd>The model formula passed to <code>lavaan</code>.</dd>


<dt><code>wide_data</code></dt>
<dd>The data provided to the <code>data</code> argument in the function</dd>


<dt><code>formula</code></dt>
<dd>The <code><a href='https://rdrr.io/pkg/Formula/man/Formula.html'>Formula::Formula()</a></code> object provided to <code>dpm()</code>.
call.</dd>


</dl>

dpm-class: Dynamic Panel Model (`dpm`) class

Description

Arguments

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