is_matrix_term

Check if a term returns a matrix when evaluated

internal

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

is_matrix_term function

<dl><dt>term</dt>
<dd>Character string representing a formula term</dd>
<dt>data</dt>
<dd>Data frame to evaluate against (should be ungrouped)</dd></dl>

Arguments

Check if a term returns a matrix when evaluated — is_matrix_term

<dl>

<dt>term</dt>
<dd>Character string representing a formula term</dd>


<dt>data</dt>
<dd>Data frame to evaluate against (should be ungrouped)</dd>

</dl>

is_matrix_term: Check if a term returns a matrix when evaluated

Description

Usage

Value

Arguments