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Dose Response Models for Bayesian Model Averaging

v3.2.0 · Dec 19, 2024 · MIT + file LICENSE

Description

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).

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Dependencies Reverse dependencies coda dplyr ellipsis ggplot2 purrr rootSolve rjags rlang tidyr tidyselect dreamer

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new 3.2.0 Mar 10, 2026