model_frame

This is similar to model.frame, but is designed specifically
for <code>panel_data()</code> data frames. It's a workhorse in <code>wbm()</code>
but may be useful in scripting use as well.

Provides an object type and associated tools for storing and
wrangling panel data. Implements several methods for creating regression
models that take advantage of the unique aspects of
panel data. Among other capabilities, automates the "within-between"
(also known as "between-within" and "hybrid") panel regression specification
that combines the desirable aspects of both fixed effects and random effects
econometric models and fits them as multilevel models
(Allison, 2009 <doi:10.4135/9781412993869.d33>;
Bell & Jones, 2015 <doi:10.1017/psrm.2014.7>). These models can also be
estimated via generalized estimating equations
(GEE; McNeish, 2019 <doi:10.1080/00273171.2019.1602504>) and Bayesian
estimation is (optionally) supported via 'Stan'.
Supports estimation of asymmetric effects models via first differences
(Allison, 2019 <doi:10.1177/2378023119826441>) as well as a generalized
linear model extension thereof using GEE.

Jacob A. Long

panelr

Regression Models and Utilities for Repeated Measures and Panel
Data

model_frame function

<dl><dt>formula</dt>
<dd>A formula. Note that to get an individual-level mean with
incomplete data (e.g., panel attrition), you should use <code>imean()</code> rather
than <code><a href="/link/mean()?package=panelr&version=0.7.8" data-mini-rdoc="panelr::mean()">mean()</a></code>.</dd>
<dt>data</dt>
<dd>A <code>panel_data()</code> frame.</dd></dl>

Arguments

Make model frames for panel_data objects — model_frame

<dl>

<dt>formula</dt>
<dd>A formula. Note that to get an individual-level mean with
incomplete data (e.g., panel attrition), you should use <code>imean()</code> rather
than <code><a href='https://rdrr.io/r/base/mean.html'>mean()</a></code>.</dd>


<dt>data</dt>
<dd>A <code>panel_data()</code> frame.</dd>

</dl>

model_frame: Make model frames for panel_data objects

Description

Usage

Value

Arguments

Examples