reconstruct_basis_call

Reconstruct a basis function call with a modified variable

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

reconstruct_basis_call function

<dl><dt>term</dt>
<dd>Original term like "ns(age, df=3)"</dd>
<dt>new_var</dt>
<dd>New variable expression like "age - imean(age)"</dd>
<dt>attrs</dt>
<dd>Optional list of attributes to add as arguments</dd></dl>

Arguments

Reconstruct a basis function call with a modified variable — reconstruct_basis_call

<dl>

<dt>term</dt>
<dd>Original term like "ns(age, df=3)"</dd>


<dt>new_var</dt>
<dd>New variable expression like "age - imean(age)"</dd>


<dt>attrs</dt>
<dd>Optional list of attributes to add as arguments</dd>

</dl>

reconstruct_basis_call: Reconstruct a basis function call with a modified variable

Description

Usage

Value

Arguments