complete_data

A <code><a rd-options="=panel_data" href="/link/panel_data()?package=panelr&version=0.7.4&to=%3Dpanel_data" data-mini-rdoc="=panel_data::panel_data()">panel_data()</a></code> frame.

data

Optionally, unquoted variable names/expressions separated by
commas to be passed to <code><a rd-options="dplyr:select" href="/link/dplyr%3A%3Aselect()?package=panelr&version=0.7.4&to=dplyr%3Aselect" data-mini-rdoc="dplyr:select::dplyr::select()">dplyr::select()</a></code>. Otherwise, all columns are
included if <code>formula</code> and <code>vars</code> are also NULL.

A formula, like the one you'll be using to specify your model.

formula

As an alternative to formula, a vector of variable names.

vars

What is the minimum number of observations to be kept?
Default is <code>"all"</code>, but it can be any number.

min.waves

This function allows you to define a minimum number of
waves/periods and exclude all individuals with fewer observations than
that.

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

complete_data function

A <code><a rd-options='=panel_data' href='panel_data()'>panel_data()</a></code> frame.

Optionally, unquoted variable names/expressions separated by
commas to be passed to <code><a rd-options='dplyr:select' href='dplyr::select()'>dplyr::select()</a></code>. Otherwise, all columns are
included if <code>formula</code> and <code>vars</code> are also NULL.

complete_data: Filter out entities with too few observations

Description

Usage

Arguments

Value

Details

Examples