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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>.
| Version: | 0.1.0 |
| 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) |
| Published: | 2026-03-17 |
| DOI: | 10.32614/CRAN.package.ememax |
| Author: | Jiangshan Zhang [aut, cre], Vivek Pradhan [aut], Yuxi Zhao [aut] |
| Maintainer: | Jiangshan Zhang <jiszhang at ucdavis.edu> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | ememax results |
| Reference manual: | ememax.html , ememax.pdf |
| Package source: | ememax_0.1.0.tar.gz |
| Windows binaries: | r-devel: ememax_0.1.0.zip, r-release: ememax_0.1.0.zip, r-oldrel: ememax_0.1.0.zip |
| macOS binaries: | r-release (arm64): ememax_0.1.0.tgz, r-oldrel (arm64): ememax_0.1.0.tgz, r-release (x86_64): ememax_0.1.0.tgz, r-oldrel (x86_64): ememax_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
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