Dose Response Models for Bayesian Model Averaging R package dreamer version 3.2.0 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). Software Imports: coda, dplyr (>= 1.0.0), ellipsis (>= 0.3), ggplot2 (>= 3.0), graphics, purrr, rootSolve, rjags (>= 4-8), rlang (>= 0.4.5), stats, tidyr (>= 1.0.2), tidyselect (>= 1.2) Suggests: testthat (>= 3.0), fs (>= 1.5), knitr, rmarkdown, tibble, spelling Richard Daniel Payne <paynestatistics@gmail.com> Comprehensive R Archive Network (CRAN) Richard Daniel Payne [aut, cre], William Michael Landau [rev], Mitch Thomann [rev], Eli Lilly and Company [cph] MIT + file LICENSE (https://CRAN.R-project.org/package=dreamer/LICENSE) 2024-12-19 application/tgz https://CRAN.R-project.org/package=dreamer doi:10.32614/CRAN.package.dreamer en-US