DESCRIPTION

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) <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
Roxygen: list(markdown = TRUE)
VignetteBuilder: knitr
Language: en-US