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dreamer: Dose Response Models for Bayesian Model Averaging
Fits (longitudinal) dose-response models utilizing a Bayesian model averaging approach as outlined in Gould (2019) <doi:10.1002/bimj.201700211> for both continuous and binary responses. Functions for plotting and calculating various posterior quantities (e.g. posterior mean, quantiles, probability of minimum efficacious dose, etc.) are also implemented. Copyright Eli Lilly and Company (2019).
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Package details |
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| Author | Richard Daniel Payne [aut, cre], William Michael Landau [rev], Mitch Thomann [rev], Eli Lilly and Company [cph] |
| Maintainer | Richard Daniel Payne <paynestatistics@gmail.com> |
| License | MIT + file LICENSE |
| Version | 3.1.0 |
| URL | https://github.com/rich-payne/dreamer |
| Package repository | View on CRAN |
| Installation |
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