Estimation for Binary Emax Models with Missing Responses and Bias Reduction R package ememax version 0.1.0 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>. Software Depends: R (>= 4.0.0), clinDR (>= 2.5.2) Imports: BB, brglm, boot, formula.tools, MASS, maxLik, numDeriv, stats Suggests: knitr, rmarkdown, testthat (>= 3.0.0) Jiangshan Zhang <jiszhang@ucdavis.edu> Comprehensive R Archive Network (CRAN) Jiangshan Zhang [aut, cre], Vivek Pradhan [aut], Yuxi Zhao [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=ememax/LICENSE) 2026-03-17 application/tgz https://CRAN.R-project.org/package=ememax doi:10.32614/CRAN.package.ememax