ememax
Estimation for Binary Emax Models with Missing Responses and Bias Reduction
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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling source/ R- | ememax_0.1.0.tar.gz |
15.3 KiB |
0.1.0 |
latest source/ R- | ememax_0.1.0.tar.gz |
15.3 KiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | ememax_0.1.0.zip |
127.2 KiB |