Package: dreamer
Title: Dose Response Models for Bayesian Model Averaging
Version: 3.2.0
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) <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).
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
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2024-12-18 20:51:04 UTC; c263386
Author: Richard Daniel Payne [aut, cre],
  William Michael Landau [rev],
  Mitch Thomann [rev],
  Eli Lilly and Company [cph]
Maintainer: Richard Daniel Payne <paynestatistics@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-19 08:30:07 UTC
Built: R 4.6.0; ; 2026-04-29 15:52:19 UTC; unix
