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ememax

Estimation for Binary Emax Models with Missing Responses and Bias Reduction

v0.1.0 · Mar 17, 2026 · MIT + file LICENSE

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>.

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OK 5 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 17, 2026

Dependency Network

Dependencies Reverse dependencies clinDR BB brglm boot formula.tools MASS maxLik numDeriv ememax

Version History

new 0.1.0 Mar 17, 2026