extract_basis_variable

Extract the primary variable from a basis function call

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

extract_basis_variable function

<dl><dt>term</dt>
<dd>Character string like "ns(age, df=3)" or "poly(x, degree=2)"</dd></dl>

Arguments

Extract the primary variable from a basis function call — extract_basis_variable

<dl>

<dt>term</dt>
<dd>Character string like "ns(age, df=3)" or "poly(x, degree=2)"</dd>

</dl>

extract_basis_variable: Extract the primary variable from a basis function call

Description

Usage

Value

Arguments