rich-payne/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).
Getting started
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Package details |
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| Maintainer | |
| License | MIT + file LICENSE |
| Version | 3.1.0.9000 |
| URL | https://rich-payne.github.io/dreamer/ https://github.com/rich-payne/dreamer |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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