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panelr  

Regression Models and Utilities for Repeated Measures and Panel Data
View on CRAN: Click here


Download and install panelr package within the R console
Install from CRAN:
install.packages("panelr")

Install from Github:
library("remotes")
install_github("cran/panelr")

Install by package version:
library("remotes")
install_version("panelr", "0.7.8")



Attach the package and use:
library("panelr")
Maintained by
Jacob A. Long
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-05-16
Latest Update: 2023-08-22
Description:
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.
How to cite:
Jacob A. Long (2019). panelr: Regression Models and Utilities for Repeated Measures and Panel Data. R package version 0.7.8, https://cran.r-project.org/web/packages/panelr. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.7.0 (2019-05-16 13:10), 0.7.1 (2019-07-12 19:30), 0.7.2 (2020-03-08 23:10), 0.7.3 (2020-06-23 14:50), 0.7.4 (2020-09-24 11:10), 0.7.5 (2021-01-18 18:00), 0.7.6 (2021-12-17 08:40), 0.7.7 (2023-02-09 17:00)
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