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 ; Bell & Jones, 2015 ). These models can also be estimated via generalized estimating equations (GEE; McNeish, 2019 ) and Bayesian estimation is (optionally) supported via 'Stan'. Supports estimation of asymmetric effects models via first differences (Allison, 2019 ) as well as a generalized linear model extension thereof using GEE.


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("panelr")

0.7.1 by Jacob A. Long, 7 days ago


https://panelr.jacob-long.com


Report a bug at https://github.com/jacob-long/panelr


Browse source code at https://github.com/cran/panelr


Authors: Jacob A. Long [aut, cre]


Documentation:   PDF Manual  


Task views: Econometrics


MIT + file LICENSE license


Imports crayon, dplyr, Formula, ggplot2, jtools, lmerTest, magrittr, methods, purrr, rlang, stringr, tibble

Depends on lme4

Suggests brms, broom, car, clubSandwich, geepack, nlme, plm, sandwich, skimr, tidyr, testthat, covr, knitr, rmarkdown


Suggested by insight.


See at CRAN