dreamer: Dose Response Models for Bayesian Model Averaging

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).

Version:	3.2.0
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
Published:	2024-12-19
DOI:	10.32614/CRAN.package.dreamer
Author:	Richard Daniel Payne [aut, cre], William Michael Landau [rev], Mitch Thomann [rev], Eli Lilly and Company [cph]
Maintainer:	Richard Daniel Payne <paynestatistics at gmail.com>
BugReports:	https://github.com/rich-payne/dreamer/issues
License:	MIT + file LICENSE
URL:	https://rich-payne.github.io/dreamer/, https://github.com/rich-payne/dreamer
NeedsCompilation:	no
Language:	en-US
Materials:	NEWS
CRAN checks:	dreamer results

Documentation:

Reference manual:	dreamer.pdf
Vignettes:	dreamer (source, R code) dreamer Methods (source, R code)

Downloads:

Package source:	dreamer_3.2.0.tar.gz
Windows binaries:	r-devel: dreamer_3.2.0.zip, r-release: dreamer_3.2.0.zip, r-oldrel: dreamer_3.2.0.zip
macOS binaries:	r-release (arm64): dreamer_3.2.0.tgz, r-oldrel (arm64): dreamer_3.2.0.tgz, r-release (x86_64): dreamer_3.2.0.tgz, r-oldrel (x86_64): dreamer_3.2.0.tgz
Old sources:	dreamer archive

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