panelr: Regression Models and Utilities for Repeated Measures and Panel Data

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.

Package details

AuthorJacob A. Long [aut, cre] (<https://orcid.org/0000-0002-1582-6214>)
MaintainerJacob A. Long <jacob.long@sc.edu>
LicenseMIT + file LICENSE
Version0.7.4
URL https://panelr.jacob-long.com
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("panelr")

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panelr documentation built on Oct. 23, 2020, 8:26 p.m.