Package: dreamer Title: Dose Response Models for Bayesian Model Averaging Version: 3.2.0.9000 Authors@R: c( person(given = c("Richard", "Daniel"), family = "Payne", role = c("aut", "cre"), email = "paynestatistics@gmail.com"), person(given = "William Michael", family = "Landau", role = c("rev"), email = "will.landau@gmail.com"), person("Mitch", "Thomann", role = c("rev"), email = "mitchell.thomann@lilly.com"), person(family = "Eli Lilly and Company", role = "cph")) Description: 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). URL: https://rich-payne.github.io/dreamer/, https://github.com/rich-payne/dreamer BugReports: https://github.com/rich-payne/dreamer/issues License: MIT + file LICENSE 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) Encoding: UTF-8 RoxygenNote: 7.3.2 Suggests: testthat (>= 3.0), fs (>= 1.5), knitr, rmarkdown, tibble, spelling Config/testthat/edition: 3 Roxygen: list(markdown = TRUE) VignetteBuilder: knitr Language: en-US Config/pak/sysreqs: jags libicu-dev Repository: https://rich-payne.r-universe.dev Date/Publication: 2024-12-19 14:40:20 UTC RemoteUrl: https://github.com/rich-payne/dreamer RemoteRef: HEAD RemoteSha: a16fbb0f17421cbf41d8f2b680a65c8502d10d3b NeedsCompilation: no Packaged: 2026-07-10 08:37:27 UTC; root Author: Richard Daniel Payne [aut, cre], William Michael Landau [rev], Mitch Thomann [rev], Eli Lilly and Company [cph] Maintainer: Richard Daniel Payne