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geex  

An API for M-Estimation
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("geex", "1.1.1")



Attach the package and use:
library("geex")
Maintained by
Bradley Saul
[Scholar Profile | Author Map]
First Published: 2017-09-04
Latest Update: 2022-08-08
Description:
Provides a general, flexible framework for estimating parameters and empirical sandwich variance estimator from a set of unbiased estimating equations (i.e., M-estimation in the vein of Stefanski & Boos (2002) ). All examples from Stefanski & Boos (2002) are published in the corresponding Journal of Statistical Software paper "The Calculus of M-Estimation in R with geex" by Saul & Hudgens (2020) . Also provides an API to compute finite-sample variance corrections.
How to cite:
Bradley Saul (2017). geex: An API for M-Estimation. R package version 1.1.1, https://cran.r-project.org/web/packages/geex. Accessed 06 May. 2025.
Previous versions and publish date:
1.0.3 (2017-09-04 20:02), 1.0.11 (2018-09-23 19:40), 1.0.12 (2020-02-17 16:10)
Other packages that cited geex R package
View geex citation profile
Other R packages that geex depends, imports, suggests or enhances
Complete documentation for geex
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