Dose Response Models for Bayesian Model Averaging

Fits (longitudinal) dose-response models utilizing a Bayesian model averaging approach as outlined in Gould (2019) 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).


Reference manual

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3.0.0 by Richard Payne, 5 months ago

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Authors: Richard Payne [aut, cre] , William Michael Landau [rev] , Mitch Thomann [rev] , Eli Lilly and Company [cph]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports coda, dplyr, ggplot2, graphics, purrr, rootSolve, rjags, rlang, stats, tidyr, tidyselect

Suggests testthat, fs, knitr, rmarkdown, tibble, spelling

See at CRAN