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geessbin  

Modified Generalized Estimating Equations for Binary Outcome
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("geessbin", "1.0.2")



Attach the package and use:
library("geessbin")
Maintained by
Ryota Ishii
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-04-20
Latest Update: 2024-09-08
Description:
Analyze small-sample clustered or longitudinal data with binary outcome using modified generalized estimating equations with bias-adjusted covariance estimator. The package provides any combination of three modified generalized estimating equations and 11 bias-adjusted covariance estimators.
How to cite:
Ryota Ishii (2023). geessbin: Modified Generalized Estimating Equations for Binary Outcome. R package version 1.0.2, https://cran.r-project.org/web/packages/geessbin. Accessed 06 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:41), 0.1.1 (2023-04-20 19:32), 0.1.2 (2023-07-08 06:00), 1.0.0 (2024-09-09 01:10), 1.0.1 (2025-12-02 09:30)
Other packages that cited geessbin R package
View geessbin citation profile
Other R packages that geessbin depends, imports, suggests or enhances
Complete documentation for geessbin
Functions, R codes and Examples using the geessbin R package
Some associated functions: geessbin . sqrtmat . wheeze . 
Some associated R codes: geessbin.R . sqrtmat.R . wheeze.R .  Full geessbin package functions and examples
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