heise

This function uses three waves of data to estimate stability
and reliability coefficients as described in Heise (1969).

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

heise function

<dl><dt>data</dt>
<dd>A <code>panel_data</code> frame.</dd>
<dt>...</dt>
<dd>unquoted variable names that are passed to <code><a href="https://dplyr.tidyverse.org/reference/select.html">dplyr::select()</a></code></dd>
<dt>waves</dt>
<dd>Which 3 waves should be used? If NULL (the default), the
first, middle, and last waves are used.</dd></dl>

Arguments

Estimate Heise stability and reliability coefficients — heise

<dl>

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


<dt>...</dt>
<dd>unquoted variable names that are passed to <code><a href='https://dplyr.tidyverse.org/reference/select.html'>dplyr::select()</a></code></dd>


<dt>waves</dt>
<dd>Which 3 waves should be used? If NULL (the default), the
first, middle, and last waves are used.</dd>

</dl>

heise: Estimate Heise stability and reliability coefficients

Description

Usage

Value

Arguments

References

Examples