Dose Response Models for Bayesian Model Averaging

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

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("dreamer")

3.2.0 by Richard Daniel Payne, 2 years ago


https://rich-payne.github.io/dreamer/, https://github.com/rich-payne/dreamer


Report a bug at https://github.com/rich-payne/dreamer/issues


Browse source code at https://github.com/cran/dreamer


Authors: Richard Daniel 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, ellipsis, ggplot2, graphics, purrr, rootSolve, rjags, rlang, stats, tidyr, tidyselect

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


See at CRAN