Dose Response Models for Bayesian Model Averaging
Overview
Fits 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. Longitudinal dose-response modeling is also supported in a Bayesian model averaging framework as outlined in Payne, Ray, and Thomann (2024) doi:10.1080/10543406.2023.2292214. 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).
- Remove automatic naming of models, now requires each model to be named (#34).
- Fix bug where candidate models could not be plotted with data (#38).
- Fix bug where binary data could not use summarized data.
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Package metadata
- First published
- 2021-08-20
- Total releases
- 3 / 5 yrs
- License
- MIT + file LICENSE OSI
- Download size
- 744 KB
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