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ememax  

Estimation for Binary Emax Models with Missing Responses and Bias Reduction
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ememax", "0.1.0")



Attach the package and use:
library("ememax")
Maintained by
Jiangshan Zhang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-03-17
Latest Update: 2026-03-17
Description:
Provides estimation utilities for binary Emax dose-response models. Includes Expectation-Maximization based maximum likelihood estimation when the binary response is missing, as well as bias-reduced estimators including Jeffreys-penalized likelihood, Firth-score, and Cox-Snell corrections.The methodology is described in Zhang, Pradhan, and Zhao (2025) <doi:10.1177/09622802251403356> and Zhang, Pradhan, and Zhao (2026) <doi:10.1080/10543406.2026.2627387>.
How to cite:
Jiangshan Zhang (2026). ememax: Estimation for Binary Emax Models with Missing Responses and Bias Reduction. R package version 0.1.0, https://cran.r-project.org/web/packages/ememax. Accessed 25 Oct. 2026.
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