formula.wbm

This S3 method allows you to retrieve the formula used to
fit <code>wbm</code> objects.

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

formula.wbm function

<dl><dt>x</dt>
<dd>A <code>wbm</code> model.</dd>
<dt>raw</dt>
<dd>Return the formula used in the call to <code>lmerMod</code>/<code>glmerMod</code>?
Default is FALSE.</dd>
<dt>...</dt>
<dd>further arguments passed to or from other methods.</dd></dl>

Arguments

Retrieve model formulas from wbm objects — formula.wbm

<dl>

<dt>x</dt>
<dd>A <code>wbm</code> model.</dd>


<dt>raw</dt>
<dd>Return the formula used in the call to <code>lmerMod</code>/<code>glmerMod</code>?
Default is FALSE.</dd>


<dt>...</dt>
<dd>further arguments passed to or from other methods.</dd>

</dl>

formula.wbm: Retrieve model formulas from `wbm` objects

Description

Usage

Arguments

Examples