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pglm  

Panel Generalized Linear Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("pglm", "0.2-3")



Attach the package and use:
library("pglm")
Maintained by
Yves Croissant
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2010-07-24
Latest Update: 2021-07-19
Description:
Estimation of panel models for glm-like models: this includes binomial models (logit and probit), count models (poisson and negbin) and ordered models (logit and probit), as described in: Baltagi (2013) Econometric Analysis of Panel Data, ISBN-13:978-1-118-67232-7, Hsiao (2014) Analysis of Panel Data and Croissant and Millo (2018), Panel Data Econometrics with R, ISBN:978-1-118-94918-4.
How to cite:
Yves Croissant (2010). pglm: Panel Generalized Linear Models. R package version 0.2-3, https://cran.r-project.org/web/packages/pglm
Previous versions and publish date:
0.1-0 (2010-07-24 22:41), 0.1-2 (2013-12-28 16:02), 0.2-0 (2017-09-28 06:52), 0.2-1 (2017-11-02 08:20), 0.2-2 (2020-01-17 18:00)
Other packages that cited pglm R package
View pglm citation profile
Other R packages that pglm depends, imports, suggests or enhances
Functions, R codes and Examples using the pglm R package
Some associated functions: Fairness . HealthIns . PatentsRD . PatentsRDUS . UnionWage . pglm . 
Some associated R codes: lnl.binomial.R . lnl.gaussian.R . lnl.negbin.R . lnl.ordinal.R . lnl.poisson.R . lnl.tobit.R . pglm.R . start.R .  Full pglm package functions and examples
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